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Data Science with less than a year in Analytics & Automation
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I am an M.Sc. Statistics graduate based in Mumbai who enjoys translating business needs into clear, workable solutions. I have produced reporting for government officials, built Power BI dashboards, and used AI and machine-learning tools to automate manual, repetitive work. I am comfortable gathering requirements from non-technical stakeholders and presenting findings simply, and I am keen to grow into a role combining business analysis, process automation, and AI tools.
University of Mumbai
M.Sc. Statistics · Statistics
August 1, 2024 – June 30, 2026
Ruia College, University of Mumbai
B.Sc. Statistics · Statistics
August 1, 2016 – June 30, 2019
Excelerate
Data Analyst Internship (Virtual)
March 1, 2026 – April 30, 2026
India
Directorate of Economics & Statistics (DES), Government of Maharashtra
Data Analytics Trainee
May 1, 2025 – June 30, 2025
Mumbai, Maharashtra, India
Telangana Government Open Data Challenge
June 25, 2026 – Present
Built an interactive Power BI dashboard with DAX measures to track metrics over time and give stakeholders clear visibility. Tracking progress of new government policies in transport sector and its consequent impact on revenue at district level, which was shown through geotagging produced through JSON file.
StayVista Hotels SQL Analytics
June 25, 2026 – Present
Wrote MySQL queries with window functions to analyse performance of branches of hotels present all over India across their standard, deluxe and super deluxe categories. Calculated key metrics of RevPAR, Occupancy Rate and Average Daily Rate. Applied Z-score logic to flag anomalous records automatically.
Equity Market Risk Factor Decomposition using Principal Component Analysis
June 25, 2026 – Present
Performed PCA on 2 years of daily return across Nifty 50 equities to decompose market risk into systematic and sector specific components explain 72% of total return variance across the portfolio. Interpreted Principal Component (PC) loadings to classify stocks by risk type- PC1 mapped to broad market (Beta) risk, PC2, PC3 to sectoral exposures in IT and Banking demonstrating understanding of the risk factor attribution relevant to investment banking operations.
Smart Product Category Tagger
June 25, 2026 – Present
Built a Naive Bayes / TF-IDF text model that automatically tagged 5,000+ product SKUs at 94% accuracy, removing slow, repetitive manual classification.
Cultural Fit Analysis
The candidate's project portfolio shows a diverse range of applications, from product tagging to financial risk analysis and government policy tracking, indicating adaptability and a broad interest in data science applications. Their academic background in Statistics combined with practical project work aligns well with roles requiring analytical rigor and problem-solving. The stated interest in business analysis, process automation, and AI tools suggests a growth mindset and alignment with innovative, data-driven cultures.
Soft Skills & Operational Fit
The candidate demonstrates good communication skills through clear project descriptions and experience in presenting findings to non-technical audiences. Their project diversity and stated interest in combining business analysis, process automation, and AI tools suggest a proactive and adaptable work attitude. The experience in government roles indicates an ability to work within structured environments and translate complex data into actionable insights.