Work experience

ADA 

Associate, Data Analytics 

• Designed and implemented end-to-end ETL pipelines using tools like Apache Spark, Hadoop, and SQL, ensuring smooth data flow from ingestion to transformation and storage for analytics use. 

• Data extraction from large-scale distributed systems for campaign Execution, enabling precise segmentation and personalization.

•  Conducted data mining across various sources to identify actionable insights and prepare data for advanced analysis and modeling.

•  Collaborated on product development, performance analysis, and onboarding, contributing to product improvements and seamless user integration.

•  Developed dynamic and interactive Power BI dashboards, integrating ETL outputs to visualize KPIs, trends, and drill-down insights for business stakeholders.   

ADA 

Data Intelligence (Intern)

• Comprehensive data research to support strategic initiatives and uncover actionable insights. 

• Conducted data cleaning and preprocessing to ensure accuracy, consistency, and readiness for analysis. Utilized web scraping tools (e.g., Python with BeautifulSoup/Selenium) to gather external data sources for enrichment and analysis. 

• Carried out data mining techniques to extract meaningful patterns and trends from complex datasets. 

• Designed and developed interactive dashboards using tools like Power BI to visualize key metrics and improve decision-making. 

• Worked closely with the Business Strategy Team to align data solutions with organizational goals, enabling data-driven decision-making.  

Flexlime LLC 

Data Analytics Consultant (Remote) 

• Analyze and extract actionable insights from financial datasets such as P&L, balance sheets, and forecasts. \

• Design and develop finance-focused dashboards and reports using Power BI and Excel, translating complex data into understandable visuals. 

• Identify reporting gaps, optimize data models, and automate recurring financial reports to enhance efficiency and reduce manual work.

•  Build financial models for forecasting, scenario analysis, and support month-end/quarterend reporting and variance analysis. Clean, preprocess, and validate large volumes of transactional and financial data using SQL and Python to ensure accuracy.

•  Provide data-driven recommendations for financial performance improvement and stay updated on analytics tools and industry practices. 

• Support data visualization optimization and report design, ensuring clear communication of financial insight 

The Sparks Foundation 

Data Science & Business Analytics (Intern) 

• Analyze a data to extract insight from it. Build a dashboard. 

• Create a Machine Learning model. 

• Evaluate or give feedback to fellow intern task.