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Data Science with 1+ years in Machine Learning & AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Mathematics postgraduate with hands-on internship experience building and deploying end-to-end machine learning solutions across healthcare, education, and real estate domains. Proficient in Python, Scikit-learn, TensorFlow/Keras, and Streamlit. Proven track record of achieving 85-91% model accuracy and deploying live ML applications for non-technical end users. Seeking a Data Scientist or ML Engineer role where strong mathematical foundations translate into measurable business impact.
CMS College (Autonomous)
M.Sc · Mathematics
August 1, 2023 – June 30, 2025
Mahtama Gandhi university
M.Sc · Mathematics
August 1, 2023 – June 30, 2025
St. Thomas College
B.Sc · Mathematics
August 1, 2020 – June 30, 2023
Mahtama Gandhi university
B.Sc · Mathematics
August 1, 2020 – June 30, 2023
Zecser Business LLP
AI Developer Intern
March 1, 2026 – July 1, 2026
Cochin, Kerala, India
Techolas Technologies
Data Science Intern
July 1, 2025 – Present
Kozhikode, Kerala, India
Insulin Dosage Prediction System
June 19, 2026 – Present
Engineered a regression model to predict insulin dosage from patient vitals; achieved an MAE of 2.4 units and R2 of 0.91 on the test set. Deployed a live Streamlit web application for real-time patient dosage inference — accessible to non-technical clinical staff with no coding knowledge required. Applied Min-Max scaling and feature importance analysis (permutation-based) to ensure clinical interpretability.
House Price Prediction
June 19, 2026 – Present
Engineered a high-performance Linear Regression model using the California Housing dataset to estimate property values. Optimized model R^2 scores by utilizing the Interquartile Range (IQR) method for outlier detection across 1,000+ records. Evaluated performance using MAE and MSE metrics and deployed an interactive prediction app via Streamlit.
Personal Voice Assistant
June 19, 2026 – Present
Engineered an end-to-end voice assistant to process real-time audio commands; achieved seamless integration of speech-to-text and text-to-speech pipelines utilizing SpeechRecognition and gTTS. Deployed a continuous-listening desktop application with asynchronous multithreading — enabling background tasks like countdown timers to run concurrently without blocking the main event loop. Applied REST API integrations and web scraping techniques (requests, wikipedia) to automate live data retrieval, local system operations, and automated browser navigation.
Cultural Fit Analysis
The candidate's projects demonstrate a diverse application of data science skills across healthcare, real estate, and automation domains, suggesting adaptability and a broad interest in problem-solving. The internship experiences, particularly the collaborative aspect mentioned at Zecser Business LLP, indicate a willingness to work in a team environment. The academic background in Mathematics provides a strong analytical foundation, which aligns well with data-driven cultures. However, the experience level is still junior, and the breadth of exposure to different team structures or company sizes is limited.
Soft Skills & Operational Fit
The candidate's resume highlights problem analysis, problem-solving, analytical thinking, and communication as soft skills. These are crucial for a Data Scientist role, indicating a potential for effective collaboration and independent work. The project descriptions show an ability to translate technical solutions into user-friendly applications, which is a positive for operational fit.