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Data Science with less than a year in Machine Learning & Data streaming algorithms
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Statistics postgraduate with hands-on experience in Machine Learning, Data streaming algorithm, and predictive modeling. Seeking an entry-level Data Scientist role to build scalable data-driven solutions and support business decision-making
Tripura University
Master of Science · Statistics
July 1, 2024 – May 1, 2026
Pratibha College of commerce and computer studies
Bachelor of Science · Statistics
June 1, 2020 – May 1, 2023
Indian Institute of Technology, Hyderabad
Algorithm for streaming Dataset
May 1, 2025 – July 1, 2025
Hyderābād, Telangana, India
Machine Learning-Driven Framework for early Detection of Diabetes
November 1, 2025 – January 1, 2026
Developed ML classification models on healthcare data for diabetes prediction Performed EDA, feature selection, and model evaluation (Confusion Matrix, F1 score) Presented at 1st International Conference of Statistics, Data Science and Optimization (ICSDO) 2026 and Won Best Poster Presentation Award
Flight Fare Prediction
October 1, 2025 – November 1, 2025
Performed exploratory data analysis (EDA) to uncover trends in flights pricing and travel behaviour. Conducted data processing and feature engineering to handle categorical and time-based data. Implemented and compared multiple machine learning models (e.g., linear regression, Decision Tree, Random forest, XGBoots) to achieve optimal prediction accuracy. Evaluated model performance using R2 score to ensure reliable price estimation.
C Language
Unknown
June 1, 2026 – Present
C++
Unknown
June 1, 2026 – Present
HTML
Unknown
June 1, 2026 – Present
Data science
Internshala
June 1, 2026 – Present
Basic SQL for data science
Unknown
June 1, 2026 – Present
Machine Learning using Python
Unknown
June 1, 2026 – Present
Power BI with AI
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internship demonstrate a strong interest in data science and machine learning, aligning well with a Data Scientist role. The participation in a conference and winning an award indicates initiative and a drive for recognition. The breadth of certifications, while numerous, suggests a willingness to learn and acquire new skills. However, the projects are primarily academic, and there is limited evidence of collaborative, real-world team environments or diverse industry exposure beyond healthcare and flight prediction. The experience level is entry-level, which might require more mentorship in a fast-paced industry setting.
Soft Skills & Operational Fit
The candidate lists 'Excellent Communication, Critical thinking, Team Work and collaboration' as soft skills. Project descriptions indicate an ability to work on structured problems and present findings (ICSDO conference). The academic background and internship suggest a methodical approach to problem-solving. However, without specific behavioral assessment data, the operational fit beyond technical tasks is difficult to fully ascertain.