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Data Analyst with 1+ years in Statistical Modeling & Machine Learning
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Data Analyst with an Integrated MSc in Statistics (Cochin University of Science and Technology, April 2026) and research internship experience at two of India's premier institutions ISI Bengaluru and CSIR-CLRI. Proficient in Python, R, SQL, and SPSS with a strong grounding in statistical modelling, time-series forecasting, and machine learning. Experienced in translating complex analytical outputs into clear, actionable insights.
Cochin University of Science and Technology
Integrated MSc · Statistics
January 1, 2021 – April 1, 2026
Kendriya Vidyalaya Ottapalam, Palakkad
AISSCE (Class XII)
N/A – January 1, 2020
Kendriya Vidyalaya Ottapalam, Palakkad
AISSE (Class X)
N/A – January 1, 2018
CSIR – Central Leather Research Institute (CLRI)
Summer Research Intern
May 1, 2025 – August 1, 2025
Chennai, Tamil Nadu, India
Indian Statistical Institute (ISI)
Summer Research Intern
May 1, 2024 – July 1, 2024
Bengaluru, Karnataka, India
EV Business Forecasting – India
January 1, 2024 – June 1, 2026
Forecasted Indian electric vehicle sales up to 2031 using ARIMA for medium-term trends and a Temporal Fusion Transformer (TFT) model for multi-horizon predictions; benchmarked model performance using MAPE and RMSE. Incorporated fuel price indicators as exogenous variables to capture demand-side drivers and improve forecast accuracy.
Customer Satisfaction Analysis – E-commerce
January 1, 2024 – June 1, 2026
Used regression and factor analysis on customer transaction and review data to identify top drivers of satisfaction and churn risk. Synthesised findings into a clear analytical report covering key satisfaction factors and recommendations.
Data Analytics with Python
NPTEL
January 1, 2024 – Present
Introduction to Python
DataCamp
January 1, 2023 – Present
Microsoft Advanced Excel
Microsoft
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic background in Statistics and diverse project experience (forecasting, customer analysis, biomechanical modeling, recommendation systems) indicate a strong analytical curiosity and adaptability. Their involvement in extracurricular activities and leadership roles suggests a proactive and collaborative personality, which generally aligns well with dynamic team environments. The internships at ISI and CLRI show an interest in research and applied problem-solving.
Soft Skills & Operational Fit
The candidate demonstrates strong communication skills through their project descriptions and extracurricular activities (University Union Councillor, theatre competitions). Their research internships suggest an ability to work independently and present findings, which are valuable for operational fit. The academic background in Statistics provides a solid analytical mindset.