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AI Engineer with less than a year in Machine Learning & Software Development.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven MCA graduate specialized in Data Science with hands-on experience in Machine Learning, Data Analytics, and Software Development. Proficient in Python, SQL, Power BI, and AI/ML technologies with strong analytical, problem-solving, and communication skills. Experienced in building predictive models, NLP applications, and interactive dashboards using real-world datasets. Passionate about developing scalable and data-driven solutions for business growth. Seeking opportunities in Data Science, AI/ML, Analytics, or Software Engineering roles in reputed organizations.
MIT ADT University, Pune
MCA Data Science · Data Science
August 7, 2024 – May 30, 2026
Codvocado
Software Developer Intern
December 1, 2025 – May 31, 2026
India
Customer Churn Prediction System
October 1, 2025 – June 1, 2026
Developed a machine learning-based customer churn prediction system using Logistic Regression and Random Forest algorithms to identify customers likely to discontinue services. Performed data preprocessing, feature engineering, and hyperparameter optimization, improving model accuracy by 15%. Analyzed over 50,000 customer records to generate actionable business insights and support customer retention strategies.
Twitter Sentiment Analysis
August 1, 2025 – June 1, 2026
Built a deep learning-based sentiment analysis application using LSTM networks to classify tweets into positive, negative, and neutral sentiments. Implemented text preprocessing techniques including tokenization, stop-word removal, and word embeddings to improve model performance. Achieved 85% validation accuracy and enabled real-time sentiment prediction on social media data.
Sales Forecasting Dashboard
June 1, 2025 – June 1, 2026
Developed a sales forecasting solution using ARIMA and Prophet models to predict future retail sales trends. Automated data preprocessing pipelines for handling missing values and data normalization while improving forecasting accuracy. Designed interactive Power BI dashboards to visualize sales performance and support data-driven business decision-making.
IBM Data Science Certification
IBM
June 1, 2026 – Present
Machine Learning Specialization
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a diverse application of data science techniques across different domains (customer churn, sentiment analysis, sales forecasting). The internship as a Software Developer Intern, while not directly a Data Analyst role, indicates adaptability and a breadth of technical interest. The target role of Data Analyst aligns well with the project experience and technical skills, suggesting a good cultural fit for a data-driven organization.
Soft Skills & Operational Fit
The candidate demonstrates good problem-solving and analytical skills through project descriptions. Collaboration using Git/GitHub is mentioned, indicating an understanding of team-based development. The English test score of 65 suggests adequate communication clarity for operational fit, though there's room for improvement in professional language usage.