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Data Science with less than a year in Machine Learning and Predictive Analytics
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
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
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.
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.
IBM Data Science Professional Certificate
IBM
June 1, 2026 – Present
Machine Learning Specialization
Stanford University & DeepLearning.AI
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.