Krishna Verma
Krishna Verma
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
Business Data Analyst
- Years of Experience
6 years
- Professional Portfolio
View here
Skillsets
- Data Mining
- Data Modelling - 3 Years
- Query Optimization - 4 Years
- ETL/ELT - 1 Years
- Data Analysis - 4 Years
- Clickstream data - 1 Years
- Business acumen - 5 Years
- Agile environment
- Tableau - 3 Years
- Stakeholder Management
- Pyspark
- postgresql
- Machine Learning
- Google Analytics
- Github
- Excel
- Data Analytics - 3 Years
- AWS
- A/B testing
- Data Science - 4 Years
- Power BI - 4 Years
- SDLC - 5 Years
- QA - 3 Years
- Data Visualisation - 3 Years
- Dashboard Development - 3 Years
- Looker, Tableau, Power BI - 3 Years
- MS Excel - 6 Years
- Pandas - 3 Years
- BigQuery - 1 Years
- SQL - 4 Years
- Python - 4 Years
Professional Summary
6Years
- Jul, 2021 - Present3 yr 2 months
Data Analyst
Freelance - Jan, 2018 - Mar, 20246 yr 2 months
Senior Engineer- Data Operations
AI Touch LLP - Jul, 2016 - Jun, 2017 11 months
Quality Engineer
Rinox Railings
Applications & Tools Known
Python
MySQL
PostgreSQL
Microsoft Power BI
Microsoft Excel
Tableau Prep
BigQuery
SQL
Excel
Power BI
Tableau
Google Analytics
Pandas
Cloud
AWS
SQL
Tableau
Excel
AWS
GitHub
Pyspark
BigQuery
Logistic Regression
Decision Tree
Random Forest
XGBoost
SVM
Work History
6Years
Data Analyst
FreelanceJul, 2021 - Present3 yr 2 months
- Performed advanced data cleaning & data transformation techniques to ensure the accuracy and integrity of collected data; successfully identified trends and outliers, resulting in a 95% accurate forecast of logistics rates and housing company sales.
- Extracted large datasets from databases & business insights for concrete solutions using Pandas, Cloud, and SQL scripting techniques such as forecasting and classification, increasing productivity by 15%.
- Analyzed customer experience data for an insurance company's marketing team using MySQL, statistics, and BI tools; visualization on the dashboard, optimizing market targeting and consumer alignment with insights & KPI.
- Employed data-driven techniques & reporting to manage seasonality trends in the Middle East and the UK, which led to a 15% boost in customer acquisition at peak times.
Senior Engineer- Data Operations
AI Touch LLPJan, 2018 - Mar, 20246 yr 2 months
- Mentored and consulted teams, and applied project management in data analysis, data quality, labelling, and Annotation of structured and unstructured data, improved accuracy rate by 14%.
- Collaborated on developing strategies using analytics and KPIs; prioritized planning and business strategy,
- Leading cross-functional teams to improve project delivery.
- Demonstrated operational excellence & project implementation, increasing team performance by 23%.
- Analyzed customer trends to identify new markets with continuous improvement increasing 20% annual
- Revenue growth from Price & Promotions initiatives to help the business.
Quality Engineer
Rinox RailingsJul, 2016 - Jun, 2017 11 months
- Coordinated with the production engineer and manager to plan, monitor, and control the quality of 50+ railing Products.
- Conducted testing on the chemical composition of ss-306 & ss-316 steel to ensure product accuracy, leading to
- A 99% precision rate in the final product development.
- Generated detailed documents on quality assurance utilizing Excel spreadsheets for all 50+ products resulting
- In a 15% improvement in customer satisfaction ratings.
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
Aug, 2023 - Sep, 2023 1 month
- The business faced challenges as customers' behavior changed after the COVID-19 pandemic. My task was to support Marketing and Strategy teams in planning the next 12 months' strategy using data-led insights and recommendations.
- Independently created and executed targeted marketing and retention initiatives, resulting in a significant 13.5% revenue boost.
- Influenced management and stakeholders by offering actionable information, promoting cooperation, and obtaining support for crucial initiatives.
- Accomplished customer retention strategies that increased client retention rates by 10% over a year, improving satisfaction regarding products and recurring revenue.
Traffic Management System
Zenit IQMar, 2021 - May, 2021 2 months
- Implemented data cleaning & feature engineering using Python to prepare the data for predictive modeling.
- Developed predictive classifier with 98% accuracy by leveraging Logistic Regression, Decision Tree, Random
- Forest, XGBoost & SVM to optimize "Green Light" duration according to traffic congestion & vehicle types.
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