Data Science with less than a year in Machine Learning and Predictive Analytics
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Assessing your cultural and operational fit
Results-driven Data Science professional with hands-on experience developing machine learning models, predictive analyt-ics solutions, ETL workflows, and data visualization dashboards. Skilled in Python, SQL, Statistics, Machine Learning, NLP, Data Cleaning, Feature Engineering, and Business Intelligence. Experienced in building end-to-end analytical pipelines, transforming raw data into actionable insights, and communicating results through Power BI and Tableau. Passionate about solving business problems using data-driven decision-making, statistical modeling, and artificial intelli-gence.
SRM Valliammai Engineering College
Bachelor of Technology · Information Technology
N/A – June 30, 2026
Dr. Reddy's Foundation
Data Science Intern
January 1, 2026 – April 1, 2026
India
DLK Technologies
Machine Learning Intern
July 1, 2022 – August 1, 2022
India
Automated Data Wrangling & Cleaning Engine
June 1, 2026 – Present
• Designed a reusable Python-based data preprocessing framework for handling missing values, outliers, and inconsistent records. • Automated data cleaning workflows and improved preparation efficiency by 30%. • Streamlined machine learning pipelines through scalable preprocessing and transformation modules.
Sentiment Analysis & Feedback Classification API
June 1, 2026 – Present
• Built an NLP-based machine learning pipeline to classify customer feedback and automate sentiment analysis. • Developed and deployed REST APIs using FastAPI for real-time prediction and reporting. • Achieved 88% classification accuracy through feature extraction, model optimization, and statistical validation.
Non-Profit Resource Demand Forecasting
June 1, 2026 – Present
• Developed forecasting models using ARIMA and Linear Regression to predict resource demand and optimize allocation planning. • Applied statistical analysis, time series forecasting, and predictive modeling techniques to improve decision-making. • Reduced resource waste by 12% through accurate forecasting and analytical insights.
Machine Learning Specialization
Stanford University & DeepLearning.AI
June 1, 2026 – Present
IBM Data Science Professional Certificate
IBM
June 1, 2026 – Present
Mathematics for Machine Learning and Data Science
DeepLearning.AI
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's involvement in a non-profit project (Non-Profit Resource Demand Forecasting) and an internship with Dr. Reddy's Foundation suggests an interest in applying data science for social impact, which could indicate a good cultural fit for organizations valuing purpose-driven work. The diversity of projects (NLP, forecasting, data wrangling) shows a broad interest in different data science applications. The candidate is still pursuing a Bachelor's degree, which implies a learning-oriented mindset.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experiences indicate an ability to work on end-to-end analytical pipelines, suggesting good problem-solving and project execution skills. The focus on improving efficiency and reducing waste in projects points to a results-oriented mindset. However, without direct assessment data, specific soft skills like teamwork, leadership, or adaptability cannot be fully evaluated.