Data Analyst with 1+ years in Data Science & Analytics
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Detail-oriented B.Sc. Data Science graduate (CGPA 9.70) with hands-on internship experience in Power BI dashboard development, Python automation (RPA/UiPath), and Root Cause Analysis. Proficient in SQL, Pandas, Tableau, and Advanced Excel. Developed real-world time-series forecasting and NLP text-classification projects. Seeking a Data Analyst role to deliver actionable business insights and drive data-driven decision-making.
Vidyalankar School of Information Technology, Mumbai
Bachelors in Data Science · Data Science
August 1, 2023 – June 30, 2026
St. Xavier’s College, Mumbai
H.S.C.
June 1, 2023 – May 31, 2023
Guru Nanak High School, Dadar
S.S.C.
June 1, 2021 – May 31, 2021
Rivakraft Solutions L.L.P
Data Science & Analytics Intern
April 1, 2025 – June 30, 2025
Mumbai, Maharashtra, India
Essential Commodity Price Prediction
June 17, 2026 – Present
Built a time-series forecasting pipeline using SARIMA and Facebook Prophet to predict prices of 22 essential commodities from 5+ years of historical data. Performed data cleaning, seasonal decomposition, and trend analysis (Pandas, Statsmodels); delivered commodity-wise forecasts enabling proactive pricing and demand planning. Identified critical price anomalies and seasonal patterns across all 22 categories, providing actionable business intelligence for supply chain decisions.
NLP-Based Customer Complaint Analysis
June 17, 2026 – Present
Analysed 10,000+ bank customer complaints using NLP (NLTK, spaCy) — applied text preprocessing, TF-IDF vectorisation, and topic modelling to unstructured feedback. Built a multi-class sentiment classifier using Scikit-learn (Logistic Regression, SVM), achieving 87% accuracy in complaint categorisation. Applied 80/20 Pareto analysis identifying the critical 20% of issue types driving 80% of customer dissatisfaction; delivered prioritised recommendations to stakeholders.
Revenue & Product Return Analysis
June 17, 2026 – Present
Analysed 50K+ customer transaction records to identify revenue leakage, customer behaviour trends, and high-return product categories impacting profitability. Conducted root cause analysis on a top-selling product with elevated return rates, uncovering key customer satisfaction and delivery-related issues. Built Power BI dashboards tracking return trends, product performance, and revenue KPIs to support data-driven business decisions.
Loan Origination System – Business Requirements Document (BRD)
June 17, 2026 – Present
Designed a comprehensive BRD for an end-to-end automated loan processing system, documenting 15+ business rules across 3 integration flows: KYC verification, OCR data extraction, and credit risk scoring. Created data flow diagrams and system architecture models in Lucidchart; estimated 40% reduction in manual processing time through automation design. Defined acceptance criteria, analytical decision logic, and validation rules bridging technical design and business requirements for credit risk models.
Cultural Fit Analysis
The candidate's project diversity, ranging from NLP and time-series forecasting to revenue analysis and BRD creation, indicates a broad interest in data science applications. The internship experience aligns well with a Data Analyst role, focusing on practical application of skills. The breadth of technical skills (Python, R, SQL, Power BI, Tableau, Excel) suggests adaptability and a willingness to learn and apply various tools, contributing positively to cultural fit within a data-driven team.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving, and attention to detail, which are critical for a Data Analyst. Their experience in technical documentation and data storytelling suggests an ability to communicate complex findings effectively. The internship experience shows an operational fit for automating tasks and delivering regular reports, indicating a proactive approach to efficiency.