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Data Analyst with less than a year in AI/ML & Marketing Analytics.
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Assessing your cultural and operational fit
Results-driven Data Analyst and BE IT 2025 graduate with hands-on experience in AI/ML, machine learning model development, marketing analytics, and data-driven decision-making. Proficient in Python, SQL, Power BI, and Advanced Excel. Experienced in building interactive dashboards, KPI reporting, predictive modeling, and ETL workflows. Adept at translating complex datasets into actionable business insights for stakeholders across healthcare and marketing domains.
Savitribai Phule Pune University
BE · Information Technology
August 1, 2021 – June 30, 2025
Maharashtra State Board
HSC · 12th Grade
N/A – May 31, 2020
Maharashtra State Board
SSC · 10th Grade
N/A – May 31, 2018
Inorbvict Healthcare India Private Limited
AI/ML Intern
January 1, 2025 – Present
Pune, Maharashtra, India
Online Mobile Shop Sales Dashboard
June 1, 2026 – Present
• Designed an interactive Power BI marketing dashboard tracking 8+ KPIs including revenue trends, product performance, and sales conversion insights. • Implemented dynamic slicers, drill-throughs, and automated KPI alerts enabling real-time monitoring and data-driven decisions for business stakeholders. • Translated raw sales data into a compelling visual narrative for leadership, demonstrating data storytelling and executive presentation skills.
Uber Ride Analytics Dashboard
June 1, 2026 – Present
• Analyzed 148,770+ customer records to identify peak demand patterns, high-performing zones, and behavioral trends analogous to marketing lead behavior analysis.
Loan Status Prediction (Lead Scoring Model)
June 1, 2026 – Present
• Built and deployed an ML classification model achieving 91% accuracy to predict loan approval — applicable to marketing lead scoring and demand generation targeting. • Delivered insights via a live Streamlit web app and Flask REST API, enabling real-time decision support for business users.
Predicting Machine Failure (Predictive Analytics)
June 1, 2026 – Present
• Built a predictive analytics model achieving 88% classification accuracy using feature engineering on 10+ variables, reducing simulated maintenance costs by ~30%.
Delivery Duration Prediction
June 1, 2026 – Present
• Developed a regression model (R2 = 0.82) predicting estimated delivery time; conducted EDA on 5,000+ records and reduced prediction error (MAE) by 18% through feature engineering.
Speak-To-Database: NLP Voice/Text to SQL System
June 1, 2026 – Present
• Built a full-stack web application enabling non-technical users to query databases using natural language, improving workflow efficiency for operations teams.
Advanced Certification – Master in Data Science
E&ICT; Academy, IIT Guwahati
June 1, 2026 – Present
10 Week Forward Program
McKinsey & Company
June 1, 2026 – Present
Quantitative Research Job Simulation
JP Morgan Chase & Co.
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from sales dashboards to predictive maintenance and NLP-driven database querying, indicates a broad interest and adaptability, which are positive for cultural fit. The focus on practical, business-oriented problems (e.g., lead scoring, cost reduction) aligns well with a results-driven environment. The inclusion of certifications from reputable organizations like IIT Guwahati and McKinsey & Company suggests a proactive learning attitude and ambition. The candidate's current internship in AI/ML further demonstrates a commitment to applying their skills in a professional setting.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as Data Storytelling, Stakeholder Communication, Strategic Thinking, Attention to Detail, and Team Collaboration. These are critical for a Data Analyst role that requires not just technical execution but also effective communication of insights to non-technical stakeholders. The project descriptions also implicitly demonstrate problem-solving and an ability to deliver end-to-end solutions.