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Data Analyst with less than a year in Machine Learning & Data Modelling.
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Data Analyst with hands-on experience in Machine Learning and data modelling. Proven ability to provide data-driven recommendations, develop analytical frameworks, and implement regression models. Eager to apply analytical skills to solve complex business problems and drive performance.
Parul University
Master Of Technology · Artifical Intelligence & Data Science
August 1, 2025 – June 30, 2027
Laxmi Institute Of Information Technology
Bachelor Of Engineering · Information Technology
August 1, 2021 – June 30, 2024
DR Babasaheb Bhimrao Ambedkar Government Polytechnic
Diploma · Information Technology
August 1, 2018 – June 30, 2021
EZ Data Munch
Data Analyst (Full-time)
January 1, 2024 – April 1, 2024
India
NIELIT
Machine Learning Intern
July 1, 2023 – August 1, 2023
India
Retail Analytics & Consumer Insights
March 1, 2026 – March 1, 2026
Improved decision-making reliability by validating customer, order, product, and inventory data through SQL-based quality checks and reusable sales data models, ensuring business stakeholders could trust reported KPIs and performance metrics. Enabled category managers and business teams to identify high-performing products, profitable categories, valuable customer segments, inventory risks, and effective marketing channels, supporting actions to improve revenue, profitability, customer retention, and inventory utilization. Delivered a 5-page executive dashboard providing a unified view of sales, product performance, customer behavior, inventory health, marketing ROI, delivery efficiency, and customer sentiment, helping stakeholders monitor business performance and uncover growth opportunities from a single source of truth.
Restaurant Revenue Forecasting with SARIMAX
June 1, 2025 – June 1, 2025
Built a SARIMAX forecasting pipeline with holiday flags and Power BI dashboard to predict restaurant revenues 12 months ahead, enabling proactive demand planning and actionable insights. Optimized Inventory & Staffing: Forecasts help restaurants align inventory orders and staffing levels with expected demand, reducing waste and ensuring readiness for peak periods. Targeted Promotions During Holidays: By predicting high-revenue months like December, restaurants can launch combo offers and themed events to maximize revenue during busy seasons. Revenue Stability in Low Months: Forecasting low-demand months enables proactive promotions (e.g., weekday deals), helping maintain footfall and consistent cash flow.
Customer Churn Prediction
January 1, 2025 – January 1, 2025
Analyzed a telecom dataset using Python to identify key factors driving customer churn. Built classification models (Random Forest, Decision Tree, PCA) to predict churn and support data-driven decisions. Evaluated model using accuracy and confusion matrix; results shared for internal reporting and insights.
Earned a Gold Badge in Python on HackerRank.
HackerRank
June 1, 2026 – Present
HackerRank SQL (Advanced).
HackerRank
June 1, 2026 – Present
Awarded 50% college scholarship for maintaining a high CGPA over 3 years, demonstrating consistent academic excellence.
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity (telecom churn, retail analytics, restaurant forecasting) and academic pursuits in AI & Data Science suggest an adaptable and curious individual. The certifications from HackerRank indicate a proactive approach to skill development. The experience, though limited in duration, shows engagement in data-driven roles. This aligns with a culture that values continuous learning, problem-solving, and practical application of skills.
Soft Skills & Operational Fit
The candidate's resume highlights 'Teamwork and Collaboration, Adaptive, Data Storytelling' as soft skills. Project descriptions indicate an ability to work with cross-functional teams and deliver executive dashboards, suggesting good operational fit for roles requiring stakeholder communication and insight delivery. The academic achievements also point to a diligent and consistent work attitude.