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Data Science with less than a year in AI & Machine Learning.
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Assessing your cultural and operational fit
Highly motivated Software Developer with strong foundations in Data Structures, Algorithms, OOP, and DBMS, skilled in writing clean and efficient code using Python, SQL, and modern development tools. Passionate about building scalable applications, solving real-world problems, and improving system performance. Adaptable and quick to learn new technologies, with hands-on experience developing web applications, machine learning models, and data-driven solutions. Proactive, detail-oriented, and committed to delivering high-quality, reliable, and impactful software solutions in fast-paced, technology-driven environments.
Hyderabad Institute of Technology and Management
Bachelor of Technology · Computer Science and Engineering (Data Science)
August 1, 2021 – June 30, 2025
Vasundhara Junior College
Intermediate Education · M.P.C
June 1, 2019 – May 31, 2021
The AI School / Learning Paths Technologies LLP
AI Data Annotation Analyst - Full Time Intern
September 1, 2025 – January 1, 2026
Hyderābād, Telangana, India
KMART – An Online Marketplace
June 1, 2026 – Present
Designed and developed a functional online marketplace enabling seamless product browsing, user interaction, and order flow. Implemented product categorization, search functionality, and responsive UI elements to enhance user experience. Built backend logic to manage users, inventory, and product listings, ensuring smooth buyer-seller interactions. Focused on usability and performance to create a scalable foundation for e-commerce applications.
Digital Health Assistant - Heart Stroke Prediction
June 1, 2026 – Present
Built a machine learning model to predict stroke risk using patient health metrics, achieving reliable classification performance. Performed data preprocessing, feature engineering, and statistical analysis to improve model accuracy and interpretability. Trained and evaluated multiple algorithms, optimizing hyperparameters for better predictive results. Developed visualizations and insights to support early risk assessment and healthcare decision-making.
ASATHYA - Fake News Detection System
June 1, 2026 – Present
Developed a text classification model to detect fake news using TF-IDF vectorization and machine learning algorithms. Cleaned, tokenized, and processed textual data to improve signal quality and reduce noise in the dataset. Trained and compared multiple classifiers (Logistic Regression, Naive Bayes, etc.) to select the best-performing model. Generated evaluation metrics and insights to monitor accuracy, precision, recall, and overall model performance.
Online Voting System
June 1, 2026 – Present
Built a secure online voting platform with role-based login for admins, voters, and candidates. Implemented candidate registration, manifesto management, and automated eligibility validation. Designed vote casting, vote tracking, and real-time result visualization with database-backed reliability. Ensured secure authentication, clean UI workflows, and efficient management of election data.
Data Visualization Using Power BI
Unknown
June 1, 2026 – Present
Python Fundamentals
Infosys Springboard
June 1, 2026 – Present
Tata Data Visualisation: Empowering Business with Effective Insights
Forage
June 1, 2026 – Present
EY Audit Virtual Experience Program
Forage
June 1, 2026 – Present
Citi ICG Technology Software Development Job Simulation
Forage
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including web development and machine learning applications, shows a broad interest and adaptability. Their involvement in 'Student Self Governance' and 'For A Cause' indicates a willingness to take responsibility and contribute to a community, which aligns with positive cultural fit. The certifications from various virtual experience programs (Forage, Infosys Springboard) demonstrate a proactive approach to learning and self-improvement, suggesting a good fit for a growth-oriented culture.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving, critical thinking, analytical thinking, and adaptability, which are crucial for a Data Science role. Their experience in data annotation suggests a detail-oriented approach and commitment to data quality. Project diversity indicates a proactive learning attitude and ability to work on different types of problems. However, the experience is primarily academic and internship-level, suggesting a need for more practical, senior-level operational experience.