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Data Science with less than a year in Machine Learning and Data Analysis
Passionate and detail-oriented Data Scientist with a strong foundation in machine learning, deep learning, natural language processing, data visualization, and statistical modeling. Proficient in Python and libraries like Scikit-learn, TensorFlow, and Hugging Face, with hands-on experience in building predictive models, neural networks, and interactive dashboards. Eager to apply my skills in data analysis, AI, and model development to real-world problems and contribute to impactful, data-driven solutions.
Sri Venkateswara University College of Sciences
Master of Sciences · Applied Statistics
August 1, 2021 – June 30, 2023
Sri Govinda Raja Swamy Arts College
Bachelor of Arts · Mathematics, Economics, Statistics
August 1, 2018 – June 30, 2021
A.P.S.W.R.E.I.S (Center of Excellence) School & Jr. College
Higher Education (Intermediate) · Mathematics, Physics, Chemistry
June 1, 2016 – May 31, 2018
A.P.S.W.R.E.I.S School & Jr. College for Boys
Secondary School Education
N/A – May 31, 2016
CSRC, DEPT. OF HUMANITIES AND SOCIAL SCIENCES, IIT TIRUPATI
FIELD INVESIGATOR
January 1, 2025 – April 1, 2025
India
Credit Card Fraud Detection
June 1, 2026 – June 1, 2026
Used imbalanced data handling techniques (SMOTE, Under sampling). Applied Random Forest, Logistic Regression, and XGBoost for fraud detection. Achieved high accuracy and precision in identifying fraudulent transactions.
Data Visualization (Academic Project)
January 1, 2021 – January 1, 2023
Developed a project on "Data Visualization using Statistical Methods and Techniques." Utilized MS Excel, SPSS, and R for data analysis and visualization. Worked with datasets such as sex ratio data of various states and population growth over the years. Created a variety of visualizations, including bar charts, line charts, pie charts, box plots, radar charts, and scatter plots, using data collected from census and online repositories like Kaggle.
Oasisinfobyte Internship Completed Certification
Oasisinfobyte
June 1, 2026 – Present
Introduction to Data Concepts
IBM
June 1, 2026 – Present
Intro to Programming, Python, Intro to Machine learning, Data Visualization
Kaggle
June 1, 2026 – Present
Introduction to Python Basic, Intermediate, Data analysis and data Visualization python basics Data Science Concepts, Introduction to Power BI
ai. Planet
June 1, 2026 – Present
R-Language for Data Science, R Essentials badge
Cognitiveclass.ai
June 1, 2026 – Present
Communication Skills, Email Etiquette Certificate
TCSion
June 1, 2026 – Present
AI/ML for Geo Data analysis
IIRS under ISRO
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and certifications demonstrate a strong interest in continuous learning and applying diverse data science techniques. The variety of projects, from academic data visualization to fraud detection and sentiment analysis, indicates adaptability and a broad interest in different problem domains. The Field Investigator role, while not directly data science, shows experience in data collection and research support, which can be valuable in understanding real-world data challenges. The candidate's profile aligns with a learning-oriented and technically driven culture.
Soft Skills & Operational Fit
The candidate's resume highlights participation in soft skills training and presenting a team project on 'Interview Readiness,' suggesting an awareness of professional communication and teamwork. The Field Investigator role involved data collection, cleaning, and report preparation, indicating attention to detail and operational execution. However, specific examples of leadership, conflict resolution, or complex stakeholder management are not explicitly detailed.