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AI Intern with less than a year in Sales Analytics & Predictive Modeling
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data-driven PGDM graduate specializing in Research & Business Analytics with experience in sales analytics, market research, and predictive modeling. Skilled in analyzing customer behavior and optimizing lead funnels to improve conversion and engagement, with hands-on use of SQL, Python, and Excel for data-driven decision-making and insights.
Lal Bahadur Shastri Institute of Management, Delhi
PGDM · Research & Business Analytics
August 1, 2024 – June 30, 2026
PDPM Indian Institute of Information Technology Design and Manufacturing, Jabalpur
B.Tech · Mechanical Engineering
August 1, 2018 – June 30, 2022
Rezolv
Sales & Marketing Intern
April 1, 2025 – June 30, 2025
India
Consumer Analytics - K-Means Clustering & Factor Analysis
January 1, 2025 – January 1, 2025
• Conducted primary research with 120+ respondents to analyze key drivers influencing automobile purchase decisions • Applied K-Means clustering and factor analysis to segment customers into actionable personas for targeted strategy design • Developed data-backed market entry strategies for automotive brands based on segmented consumer behavior insights
Streax Live Project - Primary Research & In-Store Operations
January 1, 2025 – January 1, 2025
• Connected with 150+ buyers about hair color and found strong demand for experimental shades among Gen-Z consumers • Implemented in-store merchandising changes and demos, driving a 15% increase in sales during project execution phase • Translated consumer insights into targeted marketing actions, improving engagement and conversion at retail touchpoints
Inventory Management - Predictive & Prescriptive Analytics
January 1, 2025 – January 1, 2025
• Built predictive models to identify overstocking and stock-out risks using historical inventory datasets and trends • Developed rule-based inventory strategies to improve restocking decisions and reduce inefficiencies in supply operations • Improved decision accuracy in stock planning by converting analytical outputs into actionable operational guidelines
Traffic Congestion - ML Prediction
January 1, 2025 – January 1, 2025
• Built ML models to predict traffic congestion using structured urban mobility datasets across diverse city scenarios • Achieved high classification accuracy using ensemble techniques, improving prediction reliability across diverse cases • Identified key congestion drivers through feature importance analysis, enabling data-driven urban planning decisions
Bloomberg ESG Certification
Bloomberg
June 1, 2026 – Present
Bloomberg Market Concepts
Bloomberg
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a diverse application of analytical skills across consumer behavior, retail operations, inventory, and urban planning, indicating adaptability and a broad interest in data-driven problem-solving. The leadership roles suggest a proactive and collaborative mindset. The target role is 'AI Intern', which aligns well with the candidate's current academic focus and project experience in machine learning and analytics. The blend of technical and business analytics skills suggests a good fit for roles requiring both data science and strategic thinking.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving, stakeholder collaboration, adaptability, and team leadership skills through project descriptions and leadership roles. The sales & marketing internship also highlights an ability to improve lead engagement and qualification, which are valuable operational skills. However, the experience level is entry-level, which might require more guidance in a senior AI role.