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Data Analyst with less than a year in Python, SQL & Data 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
Analytical Data Analyst with hands-on experience in Python, SQL and visualization. Strong at data cleaning, exploratory analysis, and converting data into actionable insights. Effective communicator with experience presenting technical results to non-technical stakeholders.
PSG Institute of Technology and Applied Research
B.E
August 1, 2021 – June 30, 2025
Government Girls Higher Secondary School
HSC
June 1, 2019 – May 31, 2020
Reddit Sentiment Analysis
June 1, 2024 – June 1, 2026
Developed automated pipeline to scrape Reddit posts/comments and extract most-mentioned stock tickers. Applied VADER Sentiment Intensity Analyzer to compute polarity scores and ranked tickers by compound score. Implemented filters (author uniqueness, upvote thresholds, comment limits) to improve signal quality.
Amazon Electronic States Data Analysis (Kaggle)
June 1, 2024 – June 1, 2026
Cleaned and preprocessed large e-commerce dataset using Pandas and Numpy. Performed EDA to find trends in pricing, ratings, product categories, and customer patterns. Visualized findings with Matplotlib and Seaborn to support business recommendations.
Cultural Fit Analysis
The candidate's projects are personal and academic, demonstrating initiative and a passion for data analysis. Participation in extracurricular activities (technical symposium, quiz competition, sports) suggests a well-rounded individual with potential for team collaboration and engagement. The projects align well with a Data Analyst role, indicating a clear career interest. However, the lack of professional experience means cultural fit is largely inferred from academic and personal pursuits.
Soft Skills & Operational Fit
The candidate lists communication, problem-solving, time management, and team collaboration as soft skills. Project descriptions indicate some level of communication (e.g., 'support business recommendations', 'summarized technical outcomes and communicated insights'). However, without direct interview data or specific examples of these skills in action, it's difficult to fully assess operational fit beyond basic project contributions. The internship experience mentions communicating insights to supervisors, which is a positive indicator.