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ML Engineer Intern with less than a year in Data Analytics & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
CDAC Big Data Analytics graduate with hands-on experience in Python, SQL, and Tableau. Skilled in data cleaning, exploratory data analysis (EDA), and building data-driven solutions. Developed projects like customer segmentation using RFM analysis and K-Means clustering to generate actionable business insights. Strong interest in solving real-world problems using data.
Centre for Development of Advanced Computing (C-DAC)
Post Graduate Diploma · Big Data Analytics
August 1, 2025 – February 1, 2026
Harcourt Butler Technical University
Bachelor of Technology · Information Technology
December 1, 2021 – June 1, 2025
Lucknow Public School
Intermediate
April 1, 2020 – July 1, 2021
Lucknow Public School
High School
April 1, 2018 – May 1, 2019
Prasunet Pvt. Ltd.
Machine Learning Intern
June 1, 2024 – July 1, 2024
India
Customer Segmentation for E-Commerce Platform
June 23, 2026 – Present
Analyzed Brazilian e-commerce transaction data (100K+ orders) to understand customer purchasing behavior. Performed data cleaning and EDA to handle missing values, remove duplicates, and uncover key customer behavior patterns and trends. Applied RFM analysis and K-Means clustering to group users into behavioral segments. Identified high-value, loyal, and at-risk customer segments to enable targeted marketing. Created an interactive Tableau dashboard to visualize customer segments and revenue trends.
Movie Recommendation System
June 23, 2026 – Present
Built a content-based movie recommendation system using CountVectorizer and cosine similarity. Preprocessed textual data using tokenization, stopword removal, and stemming. Utilized movie metadata to generate personalized recommendations.
Artificial Intelligence Certification
NIELIT (National Institute of Electronics and Information Technology)
June 1, 2024 – Present
Cultural Fit Analysis
The candidate's projects are primarily academic/personal and focus on data analysis and basic machine learning applications. While relevant to ML, the 'ML Infrastructure Engineer' role typically requires a stronger emphasis on system design, deployment, scalability, and MLOps, which are not evident in the current profile. The experience is limited to a short internship and personal projects, suggesting a junior profile rather than a senior one. The breadth of skills is focused on ML application rather than infrastructure.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on structured problems and present findings (Tableau dashboard). The internship suggests an ability to follow instructions and contribute to defined tasks. However, there is insufficient data to assess advanced soft skills like leadership, complex problem-solving under pressure, or cross-functional collaboration.