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Akhilesh Singh

Vetted Talent

Akhilesh Singh

Vetted Talent
Results-oriented Data Scientist and Machine Learning Engineer with a strong background in advanced analytics, Python programming, and AI-driven solutions. Specializes in developing and deploying sophisticated machine learning models, natural language processing (NLP) systems, and predictive analytics to support strategic decision-making. Currently pursuing a Bachelor of Science in Data Science and Applications at IIT Madras, further enhancing expertise in data mining, statistical analysis, and AI model optimization.
  • Role

    Senior Magento Developer

  • Years of Experience

    15.00 years

Skillsets

  • automation
  • Backend Development
  • Caching
  • Data Analysis
  • Data Cleaning
  • Data Engineering
  • Data Extraction
  • Data Management
  • Data Pipelines
  • Data Processing
  • Data Validation
  • Data Visualization
  • Data Warehousing
  • Database Sharding
  • Decision Trees
  • Django - 3 Years
  • Drupal
  • Error Handling
  • ETL
  • Feature Engineering
  • flask
  • Joomla
  • Laravel - 10 Years
  • Machine Learning - 1 Years
  • Magento
  • Matplotlib
  • Model evaluation
  • Nltk
  • NoSql
  • Numpy
  • Optimization
  • Pandas
  • PHP - 15 Years
  • Predictive Modeling
  • Python - 4 Years
  • Query Optimization
  • Seaborn
  • SQL - 10 Years
  • Statistical analysis
  • User Interface Design
  • Web Development
  • WordPress - 13 Years
  • Conversational ai
  • Amazon lex
  • Model development
  • Api development & integration
  • Content management system
  • Payment integration
  • Real-time communication
  • Queue management
  • Job execution
  • Csv file handling
  • Eager loading
  • Database indexing
  • Beautifulsoup
  • Scrapy
  • Gtts
  • Pyttsx3
  • Speech synthesis
  • Geospatial data
  • Interactive visualization
  • Heatmaps
  • Data layering
  • Rasa
  • Intent recognition
  • Entity extraction
  • Chatbot development
  • Logistic regression
  • Cross-validation
  • AJAX - 13 Years
  • AWS - 6 Years
  • Docker - 2 Years
  • JavaScript - 13 Years
  • MySQL - 15 Years
  • Rest APIs - 8 Years
  • Tailwind CSS - 4 Years
  • Plugins - 12 Years
  • CSS3 - 15 Years
  • HTML5 - 15 Years
  • Rest - 12 Years
  • Azure - 3 Years
  • API - 15 Years
  • FastAPI - 2 Years
  • Kubernetes - 1 Years
  • Django /Flask - 3 Years
  • Restful APIs - 8 Years
  • HTML/CSS - 15 Years
  • Luma - 6 Years
  • Magento 2 - 13 Years
  • magento migration - 4 Years
  • Adobe AEM - 2 Years
  • Data Structures - 8 Years
  • Object-Oriented Programming (OOP) - 8 Years
  • Redis - 4 Years
  • filament - 1 Years
  • laravel livewire - 3 Years
  • MVC Architecture - 8 Years
  • RESTful API - 8 Years
  • algorithm design
  • Classification
  • conversational AI
  • Customization
  • data analysis
  • data management
  • Integration
  • machine learning
  • Natural Language Processing (NLP)
  • Payment integration
  • Performance Optimization - 012 Years
  • predictive analytics
  • Real-time Data Processing
  • Algorithm optimization
  • Laravel queue
  • TypeScript - 3 Years
  • Node Js - 2 Years
  • GraphQL - 6 Years
  • Kafka - 2 Years
  • react - 2 Years
  • GCP - 6 Years
  • Golang - 3 Years
  • React Native - 4 Years
  • C# - 3 Years
  • .Net - 2 Years
  • Unit Testing - 12 Years
  • Fast API - 8 Years
  • Debugging - 15 Years
  • Relational Database - 15 Years
  • Integration Testing - 10 Years
  • 3rd party API integrations - 13 Years
  • automations - 8 Years
  • Docker/Terraform - 3 Years
  • GenAI - 3 Years
  • API Development - 13 Years
  • Magento's caching mechanisms - 12 Years
  • third-party API integrations - 12 Years
  • HTML / CSS - 15 Years
  • Plugin Development - 12 Years
  • SEO - 13 Years
  • Website Migration & Optimization - 14 Years
  • WordPress page builders - 15 Years

Vetted For

10Skills
  • Roles & Skills
  • Results
  • Details
  • icon-skill_image
    Senior Magento Developer ( Remote )AI Screening
  • 72%
    icon-arrow-down
  • Skills assessed :API, CSS, GraphQL, Magento Upgrade, Adobe AEM, Bugs Fixing, JavaScript, Magento, PHP, React Js
  • Score: 65/90

Professional Summary

15.00Years
  • Jun, 2023 - Present1 yr 7 months

    Data Scientist & Machine Learning Engineer

    Freelance & Projects
  • Apr, 2022 - May, 20231 yr 1 month

    Project Associate

    National Programme on Technology Enhanced Learning (NPTEL)
  • Jan, 2008 - Dec, 202113 yr 11 months

    Backend Engineer

    Various Roles

Applications & Tools Known

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    Vagrant

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    Apache Airflow

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    Plotly

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    Celery

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    Redis

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    Docker

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    Kubernetes

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    Git

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    AWS

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    BeautifulSoup

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    Scrapy

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    SQL

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    NoSQL

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    Pandas

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    NumPy

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    Plotly

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    scikit-learn

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    Flask

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    PostgreSQL

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    Redis

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    Vue.js

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    Bootstrap

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    AWS

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    RESTful APIs

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    GraphQL

Work History

15.00Years

Data Scientist & Machine Learning Engineer

Freelance & Projects
Jun, 2023 - Present1 yr 7 months
    Developed predictive models and machine learning algorithms for various clients. Implemented conversational AI chatbots using Amazon Lex to enhance user engagement. Conducted data analysis and built data pipelines for efficient data handling and processing. Applied machine learning techniques to uncover insights and drive decision-making.

Project Associate

National Programme on Technology Enhanced Learning (NPTEL)
Apr, 2022 - May, 20231 yr 1 month
    Contributed to backend processes with Python, focusing on data management and system optimization. Assisted in the development of data-driven solutions and improvements for educational platforms. Implemented an Examination Center Allotment script using Python, handling large-scale data efficiently.

Backend Engineer

Various Roles
Jan, 2008 - Dec, 202113 yr 11 months
    Developed and maintained robust backend systems and APIs using PHP and Python, ensuring seamless integration with various technologies and platforms. Designed and implemented scalable architecture for web applications, improving performance, reliability, and user experience. Managed end-to-end development and deployment processes, from initial concept through to final release, including version control, CI/CD pipelines, and deployment strategies. Optimized application performance through profiling, code refactoring, and implementing caching mechanisms, resulting in reduced latency and increased throughput. Collaborated with front-end developers, UX/UI designers, and other stakeholders to define project requirements and ensure cohesive, functional code. Implemented comprehensive testing strategies, including unit, integration, and end-to-end tests, to ensure high code quality and minimize bugs. Integrated third-party APIs and services, handling data synchronization, authentication, and error management. Monitored and troubleshooted live systems, addressing issues promptly to maintain uptime and user satisfaction. Led code reviews, providing constructive feedback and enforcing coding standards to maintain a high-quality codebase. Utilized database management systems (MySQL, PostgreSQL, MongoDB) for efficient data storage, retrieval, and manipulation, implementing best practices for data security and integrity.

Achievements

  • Interactive Media Awards (IMA)

Major Projects

15Projects

Conversational AI Chatbots with Amazon Lex

    Developed and deployed conversational AI chatbots for various applications, such as customer support and automated interactions. Integrated chatbots with existing systems to enhance user engagement and streamline operations. Customized intents, dialogue flows, and integration points to meet specific business requirements. Skills: Amazon Lex, Conversational AI, Natural Language Processing (NLP), Integration, Customization, Automation.

Examination Center Allotment Script Development

    Automated the allocation of examination centers for 50,000 students within a minute using Python, ensuring efficient and accurate processing. Designed and implemented algorithms to handle large datasets and ensure equitable distribution of examination centers. Conducted rigorous testing to validate the system's performance and reliability. Skills: Python, Algorithm Design, Automation, Data Processing, Performance Optimization

Data Scraping & Analysis for Investment Firm

    Developed a data pipeline for scraping and analyzing announcements and events from crypto startup Discord channels. Implemented automated scripts for real-time data collection and processing, delivering structured and actionable insights. Classified and monitored data according to predefined criteria, providing valuable updates and insights for investment decisions. Skills: Data Scraping, Data Pipeline Development, Python, Data Analysis, Classification, Real-time Data Processing.

Machine Learning Model Development

    Designed and implemented machine learning models to predict trends and patterns from large datasets. Applied advanced algorithms and techniques to generate business insights and optimize strategies. Iteratively tested and tuned models to enhance accuracy and effectiveness. Skills: Machine Learning, Model Development, Predictive Analytics, Algorithm Optimization, Data Analysis, Python.

Learning Platform Development- GetLive Coach

    Spearheaded the development of the GetLive Coach learning platform, a robust web application connecting coaches and pupils for dynamic online learning experiences. Utilized PHP and Laravel framework for backend development and Vue.js for frontend, integrating payment gateways for seamless transactions. Key features include user profiles, class scheduling, payment integration, real-time messaging, assignment management, feedback and ratings, and admin modules for oversight. Implemented a sophisticated matching algorithm to ensure optimal coach-pupil matches based on subject expertise, ratings, and availability. Managed accounting and payment processes, providing coaches, pupils, and verifiers with access to detailed statements and payment statuses. This project demonstrates expertise in full-stack web development and project management, offering advanced features tailored for online learning communities. Skills: PHP, Laravel, Web Development, Payment Integration, Real-time Communication Project Link: GetLive Coach

Sass Based Cloud Email Verification App Development

    Spearheaded the development of a Sass-based Cloud Email Verification application, enabling users to upload CSV files for email verification, with background processing facilitated by Queues and Jobs. Key responsibilities included CSV file handling, customer dashboard development, background verification process implementation, queue management, job execution, and error handling. Skills: PHP, Laravel, Vue.js, Queue Management, Job Execution, CSV File Handling, Error Handling, Database Sharding, Eager Loading, Caching, Query Optimization, Database Indexing, Laravel Queue. Project Link: Cloud Email Verification

Web Scraper with Python

    Developed a robust web scraper using Python libraries such as BeautifulSoup and Scrapy to extract data from multiple websites. Implemented features for handling dynamic content and pagination, ensuring comprehensive data collection. Integrated data storage solutions, including SQL and NoSQL databases, for efficient data management and retrieval. Skills: BeautifulSoup, Scrapy, SQL, NoSQL, Data Extraction, Data Management

Data Preprocessing Pipeline with Python

    Designed and implemented a data preprocessing pipeline to clean, transform, and prepare data for analysis and modeling. Utilized libraries like Pandas and NumPy for data manipulation, feature engineering, and handling missing values. Automated data cleaning processes to enhance efficiency and accuracy in data preparation tasks. Skills: Pandas, NumPy, Data Cleaning, Feature Engineering, Automation

Text to Speech Converter

    Created a text-to-speech (TTS) application using Python libraries such as gTTS (Google Text-to-Speech) and pyttsx3. Developed functionality for converting text input into natural-sounding speech with adjustable parameters for voice and speed. Integrated the TTS system into a user-friendly interface for seamless interaction and accessibility. Skills: gTTS, pyttsx3, Speech Synthesis, User Interface Design

Data ETL Pipeline with Python

    Developed an Extract, Transform, Load (ETL) pipeline using Python to automate the extraction of data from various sources, transformation into a structured format, and loading into a data warehouse. Employed tools like Apache Airflow for workflow orchestration and Pandas for data transformation. Ensured data integrity and consistency throughout the ETL process by implementing validation and error-handling mechanisms. Skills: Apache Airflow, Pandas, ETL, Data Warehousing, Data Validation, Error Handling

Data Visualization on a Map

    Implemented interactive data visualizations on geographical maps using libraries such as Folium and Plotly. Created dynamic maps to display geospatial data, including heatmaps, clusters, and markers, for insightful spatial analysis. Integrated data layers and interactive features to enhance user experience and data exploration. Skills: Folium, Plotly, Geospatial Data, Interactive Visualization, Heatmaps, Data Layering

Create a Chatbot with Python

    Developed an intelligent chatbot using Python and frameworks like NLTK and Rasa to handle natural language interactions. Implemented intent recognition, entity extraction, and context management to facilitate meaningful conversations. Integrated the chatbot with messaging platforms and tested it extensively to ensure high accuracy and user satisfaction. Skills: NLTK, Rasa, Natural Language Processing (NLP), Intent Recognition, Entity Extraction, Chatbot Development

Optimizing Inventory for Profitability (Data Analysis & Visualizations)

    Conducted comprehensive data analysis using Python libraries such as Pandas, Matplotlib, and Seaborn to extract actionable insights. Created detailed visualizations including histograms, scatter plots, and bar charts to represent data trends and distributions. Applied statistical techniques to interpret data and inform decision-making processes. Skills: Pandas, Matplotlib, Seaborn, Data Analysis, Data Visualization, Statistical Analysis

Disease Prediction Using Machine Learning

    Developed a machine learning model to predict disease outcomes based on patient data using Python and scikit-learn. Employed various algorithms, including logistic regression, decision trees, and ensemble methods, to achieve high accuracy. Preprocessed data, engineered features, and evaluated model performance using cross-validation and metrics such as precision, recall, and F1-score. Skills: scikit-learn, Machine Learning, Logistic Regression, Decision Trees, Feature Engineering, Model Evaluation, Cross-Validation

Script Development for College Project (BookMyShow-like Platform)

    Created a script similar to BookMyShow for managing event bookings and ticketing. Included features for event listing, seat selection, and payment processing. Skills: Python, Flask, Web Development, PostgreSQL, Celery, Redis

Education

  • Bachelor of Science in Data Science and Applications

    Indian Institute of Technology Madras (IITM) (2025)

Certifications

  • Microsoft certified: azure ai fundamentals

  • Microsoft certified: azure data fundamentals

  • Microsoft certified azure fundamentals

  • Nptel: internet of things certification

  • Hackerrank: python certification

  • Microsoft certified: power platform fundamentals

  • Nptel: cloud computing certification

  • Hackerrank: mysql certification