profile-pic

Krishna Verma

Vetted Talent

Krishna Verma

Vetted Talent

Data professional with a track record in analytics, operations, and data science. Proficient in Python, SQL, Excel, data visualization tools, and cloud. Experienced in machine learning, A/B testing, and database. Contributed to a 20% annual revenue growth and delivered a 14% improvement in accuracy rates through data quality enhancements.

  • Role

    Senior Engineer-Data Operations

  • Years of Experience

    6 years

  • Professional Portfolio

    View here

Skillsets

  • Reinforcement Learning
  • ETL/ELT - 1 Years
  • Query Optimization - 4 Years
  • Data Modelling - 3 Years
  • machine learning - 4 Years
  • Cloud - 2 Years
  • dax - 3 Years
  • Big Data
  • data analysis
  • Data Extraction
  • Reporting
  • stakeholder collaboration
  • Statistics - 3 Years
  • R
  • Data Analysis - 5 Years
  • Machine Learning (Supervised & Unsupervised) - 4 Years
  • Statistical Knowledge - 4 Years
  • Causal Inference - 4 Years
  • MySQL - 3 Years
  • LLM
  • Data Visualization - 4 Years
  • GIT - 1 Years
  • Statistical Modeling - 4 Years
  • Postgres - 3 Years
  • Mongo - 1 Years
  • GA4 - 1 Years
  • Google Ads
  • Looker Studio - 1 Years
  • AWS
  • Python - 3 Years
  • SQL - 3 Years
  • BigQuery - 1 Years
  • Pandas - 3 Years
  • MS Excel - 6 Years
  • Looker, Tableau, Power BI - 3 Years
  • Dashboard Development - 3 Years
  • Data Visualisation - 3 Years
  • QA - 3 Years
  • SDLC - 5 Years
  • Power BI - 4 Years
  • Data Science - 4 Years
  • A/B testing - 3 Years
  • Data Analytics - 3 Years
  • Data Mining
  • Excel
  • Github
  • Google Analytics - 1 Years
  • Machine Learning
  • postgresql
  • Pyspark
  • Stakeholder Management
  • Tableau - 3 Years
  • Agile environment
  • Business acumen - 5 Years
  • Clickstream data - 1 Years

Vetted For

7Skills
  • Roles & Skills
  • Results
  • Details
  • icon-skill_image
    Data AnalystAI Screening
  • 76%
    icon-arrow-down
  • Skills assessed :Data Extraction, Matplotlib, PowerBI, SPSS, Python, SQL, Tableau
  • Score: 68/90

Professional Summary

6Years
  • Jul, 2021 - Jun, 20242 yr 11 months

    Data Analyst

    Freelance
  • Jan, 2018 - Mar, 20246 yr 2 months

    Senior Engineer-Data Operations

    AI Touch LLP (IT Company)
  • Jul, 2016 - Jun, 2017 11 months

    Quality Engineer

    Rinox Railings (Manufacturing)

Applications & Tools Known

  • icon-tool

    Python

  • icon-tool

    MySQL

  • icon-tool

    PostgreSQL

  • icon-tool

    Microsoft Power BI

  • icon-tool

    Microsoft Excel

  • icon-tool

    Tableau Prep

  • icon-tool

    BigQuery

  • icon-tool

    SQL

  • icon-tool

    Excel

  • icon-tool

    Power BI

  • icon-tool

    Tableau

  • icon-tool

    Google Analytics

  • icon-tool

    Pandas

  • icon-tool

    Cloud

  • icon-tool

    AWS

  • icon-tool

    SQL

  • icon-tool

    Tableau

  • icon-tool

    Excel

  • icon-tool

    AWS

  • icon-tool

    GitHub

  • icon-tool

    Pyspark

  • icon-tool

    BigQuery

  • icon-tool

    Logistic Regression

  • icon-tool

    Decision Tree

  • icon-tool

    Random Forest

  • icon-tool

    XGBoost

  • icon-tool

    SVM

Work History

6Years

Data Analyst

Freelance
Jul, 2021 - Jun, 20242 yr 11 months
    Collected, analyzed, and interpreted supply chain data to identify growth opportunities, optimizing logistics and resulting in a 20% increase in operational efficiency. Led the design and validation of proof-of-concept models using A/B testing, driving strategic decisions that improved customer acquisition by 15%. Conducted advanced data extraction, cleaning, and transformation, creating data pipelines that improved forecasting accuracy by 95%. Developed detailed reports and dashboards to communicate key insights across teams, enabling data-driven decision-making for product and marketing teams.

Senior Engineer-Data Operations

AI Touch LLP (IT Company)
Jan, 2018 - Mar, 20246 yr 2 months
    Collaborated with product managers and commercial stakeholders to identify strategic priorities, increasing annual revenue by 20% through data-informed decisions. Monitored key performance metrics and applied project management techniques to improve operational excellence, resulting in a 23% improvement in project delivery speed and accuracy. Developed data quality frameworks and implemented structured data processes, enhancing product accuracy by 14%. Facilitated a data-driven culture across teams, promoting evidence-based decision-making and driving a 15% increase in team performance metrics.

Quality Engineer

Rinox Railings (Manufacturing)
Jul, 2016 - Jun, 2017 11 months
    Coordinated with production teams to ensure quality control of over 50 products, achieving a 99% precision rate in the final product through meticulous quality assurance practices. Led data-driven improvement initiatives that boosted customer satisfaction ratings by 15%.

Achievements

  • Contributed to 20% annual revenue growth
  • Delivered 14% improvement in accuracy rates through data quality enhancements
  • 95% accurate forecast of logistics rates and housing company sales
  • 15% boost in customer acquisition at peak times
  • Contributed to a 20% annual revenue growth
  • Delivered a 14% improvement in accuracy rates through data quality enhancements
  • Successfully identified trends and outliers, resulting in a 95% accurate forecast of logistics rates and housing company sales
  • Increased productivity by 15% using forecasting and classification techniques
  • Led to a 15% boost in customer acquisition at peak times
  • Improved team performance by 23%

Testimonial

Dr. Mogana Darshini Ganggayah

"Krishna is a passionate data scientist with an on-demand skillset in performing machine learning using Python. His ability in problem-solving using data science techniques is definitely a beneficial contribution to the industry or stakeholders. "

Major Projects

2Projects

Customer Data Analysis

    Executed targeted marketing strategies based on data insights, leading to a 13.5% increase in revenue. Developed data models that improved customer retention by 10%, enhancing recurring revenue streams. Presented actionable insights to stakeholders, promoting a data-driven culture and influencing strategic initiatives.

Traffic Management System

Zenit IQ
    Developed a predictive model using Python for optimizing traffic light durations, achieving 98% accuracy in managing congestion through machine learning algorithms like Decision Tree and XGBoost.

Education

  • Bachelor of Technology

    Deenbandhu Chhotu Ram University of Science & Technology (2015)
  • Bachelor of Technology

    DCRUST (2015)

Certifications

  • IBM Data Analytics

  • Ibm data analytics sql bootcamp

  • Ibm data analytics

  • Sql bootcamp

Interests

  • Cooking
  • Cricket
  • Singing
  • Watching sports like cricket and soccer as an analyst to understand the analytics behind them. Cooking for friends and family and try new recipes.