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Radarapu Chalukya

Data Scientist / Data Analyst • Bangalore, Karnataka • c***************@gmail.com • +91*******234 • drivetube.ai/•••••

Professional Summary

Data Scientist with 0 years of experience applying machine learning, statistical analysis, and visualization to extract insights from structured and time-series data; MSc in Data Science & Artificial Intelligence (IISER) with hands-on projects in time-series forecasting, anomaly detection, SQL analytics, and Power BI reporting.

Technical Skills

Programming Languages: Python
Frameworks and Libraries: Pandas,NumPy,Scikit-learn,Seaborn,LSTM,Isolation Forest
Databases: SQL,T-SQL,CTEs,Window Functions
Cloud and DevOps: Linux
Data and Analytics: Power BI,Tableau,Data Visualization Design,Exploratory Data Analysis,Time Series Analysis,RFM Segmentation,Feature Engineering
Tools and Methodologies: Google Colab,Microsoft Excel,Power Query
Reporting and Calculations: DAX,KPI Design,Dashboard Interactivity

Work Experience

Meri SKILL
Power BI Intern
Sep, 2023 – Oct, 2023
Internship focused on building Power BI dashboards and data transformations to analyze e-commerce sales, profitability, and logistics metrics.
Tech Stack: Power BI, DAX, Power Query, Microsoft Excel
  • Designed and developed an interactive Power BI dashboard to analyze e-commerce sales, profit, quantity, and shipping costs across countries, states, categories, and markets to support business reporting.
  • Implemented data transformation pipelines using Power Query to clean and unify transactional and shipping data prior to visualization, improving data readiness for analysis.
  • Built advanced DAX measures and calculated columns to compute profitability metrics, contribution margins, and time-based comparisons (YoY, MoM) for stakeholder reporting.
  • Developed slicers, filters, and drill-through pages enabling ad-hoc exploration and multi-level analysis for sales strategy and logistics decision-making.
  • Prepared PBIX deliverables and documentation for handoff, enabling cross-functional teams to use dashboards for monitoring and operational planning.
  • Collaborated with peers to validate data accuracy and surfaced actionable insights used to inform sales prioritization and shipping cost focus areas.
Customer Analytics
Analytics

Projects

Trend Analysis & Anomaly Detection in Stock Market Data Using ML | Jan, 2025 – Jan, 2025
Tools Used: Python, Pandas, NumPy, Seaborn, LSTM, Isolation Forest, Power BI, Technical Indicators
  • Analyzed 1,250+ days of Infosys stock price data using technical indicators such as SMA, EMA, RSI, MACD, Bollinger Bands, and ATR to derive trend and volatility signals.
  • Engineered time-series features and windowed inputs to prepare sequences for LSTM-based short-term price prediction.
  • Built and trained an LSTM model for short-term forecasting, evaluating performance using walk-forward validation and error metrics to assess predictive utility.
  • Applied Isolation Forest for unsupervised anomaly detection to flag abnormal price movements and potential market anomalies.
  • Integrated predictions and anomaly flags into interactive Power BI dashboards to visualize trends, prediction bands, and detected anomalies for stakeholder review.
Customer Analytics & Churn Prediction using SQL & Power BI | Sep, 2024 – Sep, 2024
Tools Used: SQL, CTEs, Window Functions, RFM Segmentation, Power BI, KPI Design
  • Developed an end-to-end customer analytics solution using SQL to analyze 10K+ customer and transaction records to identify churn patterns and behavior segments.
  • Performed RFM segmentation to classify high-value and at-risk customers and derived segment-specific retention recommendations.
  • Wrote advanced SQL queries using CTEs, window functions, joins, and aggregations to compute KPIs including CLV, churn rate, retention rate, and cohort metrics.
  • Identified primary churn drivers such as contract type and tenure through cohort and feature analysis to guide targeted retention strategies.
  • Designed interactive Power BI dashboards with filters, slicers, and drilldowns to communicate customer insights and business KPIs to stakeholders.

Education

Indian Institute of Science Education and Research (IISER)
Masters - Data Science and Artificial Intelligence • Tirupati, India • Aug, 2024 – Jul, 2025
Indian Institute of Engineering Science and Technology (IIEST)
Bachelor of Technology - Civil Engineering • Kolkata, India • Aug, 2019 – Jun, 2023

Certifications

Data Analyst — Udemy
Microsoft Power BI Desktop — Udemy
Data Analytics Essentials — CISCO
SQL — HackerRank
Machine Learning — Coursera

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