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Data Analyst with less than a year in Python, SQL, and Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Data Analyst and Python Developer with hands-on experience in data wrangling, exploratory analysis, predictive modeling, and business intelligence using SQL, Python, Power BI, and Tableau. Proven ability to build ML-powered pipelines for real-world use cases and deliver data-driven insights that create measurable business impact.
DY Patil University
Bachelor of Technology · Information Technology
August 1, 2022 – May 1, 2026
P.S. Deshmukh School & Jr. College
Intermediate · HSC
March 1, 2021 – August 1, 2022
Stock Market Price Prediction on Live Data Using ML
June 25, 2026 – Present
Ingested and analyzed real-time and historical stock market data to identify price trends, patterns, and volatility signals. Executed end-to-end preprocessing — cleaning, normalization, and feature engineering for time-series datasets. Designed and trained predictive models (Linear Regression, Random Forest, LSTM), evaluated using MAE, RMSE, and R2. Built Power BI and Tableau dashboards visualizing stock trends, volatility, and model outputs to support investment decisions.
Customer Churn Prediction & Retention Strategy Analysis
June 25, 2026 – Present
Conducted cohort and behavioral analysis on customer lifecycle data using advanced SQL (CTEs, window functions) and Python to identify key churn drivers. Segmented customers into high/medium/low churn-risk groups; built prediction models and calculated CLV to prioritize retention efforts. Developed interactive Power BI and Tableau dashboards tracking churn rate, retention trends, and CLV for targeted retention campaigns.
SQL
HackerRank
March 1, 2026 – Present
Python Full Stack
Eduskill
September 1, 2025 – Present
Data Analyst
OneRoadmap
April 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects demonstrate initiative and a proactive approach to learning and applying data analysis techniques. The diversity of projects (finance and customer retention) shows adaptability and a broad interest in data applications. The certifications indicate a commitment to continuous learning. However, without professional experience, the ability to collaborate in a team or adapt to a corporate culture is unproven.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate business problems into analytical solutions and present findings through dashboards, suggesting good problem-solving and communication skills. However, without direct assessment data, it's difficult to fully evaluate operational fit, teamwork, or stress handling.