Data Science with less than a year in Python, SQL, and Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I am a recent MCA graduate with strong skills in SQL, Python, AWS, and software engineering. Interested in data analysis and business intelligence, and seeking an Analyst role to deliver insights, support data-driven decisions, and contribute to organizational growth.
Jawaharlal Nehru Technological University, Kakinada AP, INDIA
Masters in computer applications · Computer Applications
August 1, 2023 – June 30, 2025
Dr. B.R Ambedkar University, Hyderabad, TS, INDIA
Bachelor of Science · MPC
August 1, 2021 – June 30, 2023
Enterprise Records Management System
January 1, 2023 – January 1, 2025
Developed a web-based CRUD application using Python and Django to manage 1K+ company records securely. Engineered a scalable PostgreSQL backend, improving data reliability and query performance by ~30%. Utilized Django ORM for efficient routing and database operations, eliminating duplicates and ensuring data integrity. Implemented dynamic data retrieval to power real-time dropdowns and interactive tables, enhancing user experience. Designed a user-friendly frontend using HTML and CSS, streamlining data entry and reducing input errors. Built secure data management features, including controlled record deletion and full database reset functionality.
Text Analyzer using Natural Language Processing and Machine Learning
January 1, 2023 – January 1, 2025
Achieved 90% prediction accuracy using the Random Forest Algorithm. Built a sentiment analysis model using Machine Learning and NLP techniques. Preprocessed text data using tokenization and stopword removal. Normalized lexicon to enhance model performance. Used NLTK for text preprocessing tasks like tokenization and POS tagging. Filtered stopwords to improve sentiment classification. Collaborated in a 3-member team to build the sentiment analysis model. Planned and divided tasks to meet deadlines efficiently. Contributed to brainstorming sessions for problem definition and solution design. Documented workflows for smooth team coordination. Explained model logic to non-technical peers during presentations. Helped teammates debug preprocessing and model issues. Presented results to faculty and incorporated feedback. Balanced project work with academics through effective time management.
Introduction of AI
Infosys
June 1, 2026 – Present
AWS Certified Cloud Practitioner
AWS
June 1, 2026 – Present
Intro to IOT
NPTEL-IIT Madras
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a willingness to learn and apply new technologies (NLP, ML, Django). The collaborative nature of the 'Text Analyzer' project suggests an ability to work within a team structure. The stated interest in data-driven decisions aligns with a data science role. However, the lack of professional experience means cultural fit is primarily inferred from academic project engagement and self-reported soft skills.
Soft Skills & Operational Fit
The candidate highlights teamwork, time management, and problem-solving skills, which are crucial for operational fit. Project descriptions indicate collaboration in a 3-member team and task division, suggesting an ability to work effectively in a team setting. The ability to explain model logic to non-technical peers is a positive indicator for communication within a team.