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Data Analyst with less than a year in SQL, Python, and Power BI
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Assessing your cultural and operational fit
Data Analyst with an M.Sc. in Computer Science (Data Science) and a strong foundation in Statistics. Experienced in SQL, Python, and Power BI through a rated internship at Malabar Group, where I delivered CRM analytics, RFM segmentation, and customer clustering on large-scale retail data. Skilled in data cleaning, exploratory analysis, dashboard development, and translating business questions into actionable insights. NPTEL Elite Gold (Top 1%) in Learning Analytics IIT Bombay.
Rajiv Gandhi National Institute of Youth Development (RGNIYD), Sriperumbadur
M.Sc. Computer Science · Data Science
August 1, 2024 – June 30, 2026
Hindu College, University of Delhi
B.Sc. (Hons.) · Statistics
August 1, 2021 – June 30, 2024
Chennamangallur Higher Secondary School
Class XII
June 1, 2021 – May 31, 2021
Chennamangallur Higher Secondary School
Class X
June 1, 2019 – May 31, 2019
Malabar Group
Data Analyst Intern
January 1, 2026 – April 1, 2026
Kozhikode, Kerala, India
Nucore Software Solutions Pvt. Ltd
Analyst Intern
June 1, 2025 – August 1, 2025
Kozhikode, Kerala, India
Department of Economics and Statistics Kozhikode
Research & Data Analyst
July 1, 2023 – August 1, 2023
Kozhikode, Kerala, India
Cignes Business Solutions Pvt. Ltd
Python Developer Intern
June 1, 2023 – July 1, 2023
Kozhikode, Kerala, India
Skincare Recommendation System with Personalised Skin Analysis
January 1, 2025 – January 1, 2025
Built a full-stack Flask application integrating SBERT-based semantic product search, a Random Forest skin-type classifier (98.75% accuracy), and FAISS similarity indexing (<100ms search) to deliver real-time, personalised skincare recommendations. Implemented secure user authentication, profiling, and an intuitive responsive UI for alternative product discovery.
Personalised Meal Recommendation System
January 1, 2024 – January 1, 2024
Designed an intelligent meal recommendation engine using a hybrid model combining K-Nearest Neighbours (KNN) for nutrition-based similarity and TF-IDF with cosine similarity for ingredient matching. Deployed as a Flask web application filtering recommendations by user preferences, allergens, nutritional goals, and cooking time.
Survival Analysis of Lung Cancer in North Indian Population
January 1, 2023 – January 1, 2023
Applied Kaplan-Meier and Cox regression methods in SPSS to analyse survival outcomes in lung cancer patients from PGIMER, Chandigarh. Identified significant survival variations by age, gender, and treatment type, providing insights for healthcare research and clinical decision-making.
Kerala State Income Trends and Analysis
January 1, 2023 – January 1, 2023
Analysed district-wise income trends using Python and Excel, conducting EDA to uncover regional economic disparities and growth patterns across Kerala. Built Excel dashboards and Python visualisations for clear, data-driven communication of income inequality findings to stakeholders.
Data Visualization and Analytics with Excel, Power BI, Tableau & Generative AI
IQAC, Marian College Kuttikkanam / ipsr solutions / Valin (UK, USA, Canada)
June 1, 2026 – Present
Big Data and New Paradigms in the Digital Age
Hindu College, University of Delhi in collaboration with Digital India Foundation
June 1, 2026 – Present
Data Analysis Using Python
Hindu College, University of Delhi in association with IIT Delhi (PMRF Scheme)
June 1, 2026 – Present
NPTEL Elite Gold (Top 1%)
IIT Bombay
June 1, 2026 – Present
NPTEL Elite Silver
IIT Madras
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from skincare and meal recommendation systems to economic trend analysis and survival analysis, indicates a broad interest in applying data science across various domains. Their internships at Malabar Group (retail), Nucore Software Solutions (travel tech), and Department of Economics and Statistics (government) show adaptability to different organizational cultures. The NPTEL certifications and continuous learning initiatives suggest a proactive and growth-oriented mindset, aligning well with a culture of continuous improvement and innovation.
Soft Skills & Operational Fit
The candidate lists strong soft skills including Communication, Leadership, Organising, Teamwork, and Active Listening. These are crucial for a Data Analyst role, especially in collaborating with product teams and stakeholders, as demonstrated in their internship experiences. Their ability to document system requirements and map data flows indicates good operational fit for structured analytical environments.