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Data Analyst with less than a year in SQL, Python, 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 with 3 internships, hands-on experience in SQL, Python, Power BI, and machine learning. Delivered 43.8% MAE reduction in financial forecasting using Hybrid LSTM-GRU deep learning. Skilled in EDA, KPI dashboards, predictive modeling, and customer segmentation on large datasets (541K+ records). Strong CS foundation with First Class in Computer Science Engineering.
University of Kalyani
B.Tech · Computer Science & Engineering
August 1, 2023 – June 30, 2026
Dr. B.C. Roy Polytechnic, Durgapur
Diploma · CS & Technology
August 1, 2020 – June 30, 2023
Unified Mentor Pvt. Ltd.
Data Analyst Intern
March 1, 2026 – May 31, 2026
India
Codec Technologies
Data Analyst Intern
November 1, 2025 – December 31, 2025
India
Prodigy Infotech
Machine Learning Intern
August 1, 2025 – September 30, 2025
India
SQL Analytics — Bank Churn & IPL Match Analysis
June 1, 2026 – Present
Used advanced joins, CTEs, window functions, and aggregations to extract performance metrics and business insights from relational databases.
Sales Forecasting — Hybrid Deep Learning (Reliance Industries)
June 1, 2026 – Present
Reduced MAE by 43.8% and RMSE by 39.4% vs standalone LSTM by designing a Hybrid LSTM-GRU architecture for financial time-series forecasting. Benchmarked multiple deep learning models, enabling clear model selection rationale backed by quantitative results.
Customer Lifetime Value Analytics & Segmentation
June 1, 2026 – Present
Applied RFM analysis and K-Means clustering on 541K+ retail transactions to segment customers by value, recency, and frequency. Deployed an interactive Streamlit dashboard with dynamic visualisations for non-technical business stakeholders.
BI Dashboards — Credit Card & Amazon Sales Analytics
June 1, 2026 – Present
Developed interactive Power BI dashboards with DAX measures, KPI tracking, and drill-through filters for executive reporting.
Data Analytics with Python, SQL & Power BI
NextGen Techno Hub
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio is diverse, covering financial forecasting, customer analytics, and sales reporting, which indicates a broad interest in applying data analysis across different business domains. The inclusion of both personal and professional projects, along with multiple internships, suggests a proactive and continuous learning attitude. The target role of 'Data Analyst' aligns well with the candidate's demonstrated skills and project experience, particularly in SQL, Python for data manipulation and modeling, and Power BI for visualization. The candidate's academic background in Computer Science & Engineering further strengthens their analytical foundation.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate complex technical work into business insights (e.g., 'directly informing business decisions', 'dynamic visualisations for non-technical business stakeholders'). The diversity of projects (churn analysis, sales forecasting, customer segmentation) suggests adaptability and a problem-solving mindset. However, without direct assessment data, specific soft skills like teamwork or stress handling cannot be definitively evaluated.