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Data Science with less than a year in Data Cleaning, Analysis, and Visualization.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst skilled in SQL, Python, and Excel, with hands-on experience in data cleaning, analysis, and insight generation. Proficient in data visualization and statistical analysis, with working knowledge of machine learning and generative AI to support data-driven decision-making.
United Institute of Technology, Coimbatore
B.Tech · Artificial Intelligence & Data Science
August 1, 2021 – June 30, 2025
GTechnologies Pty Ltd
Data Science Intern
January 1, 2026 – March 31, 2026
India
Live Stream Technologies
Data Analyst Intern
October 1, 2024 – November 30, 2024
Coimbatore, Tamil Nadu, India
Uber Ride Analytics & Business Insights Dashboard
January 1, 2025 – December 31, 2025
Processed and cleaned 150K+ ride records using Pandas and NumPy, including feature engineering on temporal attributes. Performed exploratory data analysis (EDA) to uncover demand trends, cancellation patterns, and revenue leakage. Analyzed ride completion vs cancellation behavior across vehicle types, time periods, and cancellation reasons. Built interactive Power BI dashboards with KPI cards, slicers, drill-downs, and Top-N analysis. Delivered actionable insights to improve ride completion rates, optimize fleet utilization, and maximize revenue.
Indian Bank Stock Prediction System
January 1, 2025 – December 31, 2025
Analyzed 5 years of historical stock data from 15 NIFTY Bank companies to identify long-term market trends. Engineered 100+ time-series features using OHLC data, RSI, moving averages, and volume indicators. Developed a hybrid LSTM + Quantum Neural Network (QNN) model to capture nonlinear patterns in stock movements. Achieved 90% prediction accuracy in classifying bullish and bearish market trends. Generated next-day predictions with key insights including price movement, RSI strength, volatility shifts, and MA crossovers. Designed multiple visualizations (trend lines, histograms, RSI plots, volume charts) to improve model interpretability.
Cultural Fit Analysis
The candidate's projects cover diverse domains (ride analytics, stock prediction, malaria detection), indicating adaptability and a broad interest in applying data science. The blend of academic projects and internships suggests a proactive learning approach. The target role of Data Science aligns well with their educational background and project experience, particularly the use of advanced ML techniques. However, without more information on collaborative projects or team roles, assessing cultural fit beyond technical alignment is limited.
Soft Skills & Operational Fit
The candidate demonstrates analytical thinking, problem-solving, and attention to detail, which are crucial for a Data Science role. Their project work shows an ability to translate data into actionable insights. However, the resume does not provide sufficient information to assess stress handling, team collaboration, or work attitude beyond what is typically expected from project descriptions.