Yash Mehta

Data Science

https://www.opentalent.in/yash-mehta-6273524

Data Science with 1+ years in AI/ML & Data Analysis

Key Strengths

Strong foundational knowledge in Data Science, Machine Learning, and NLP, demonstrated through diverse projects and internships.
Proficiency in Python, SQL, and various data science libraries (Pandas, Scikit-learn, XGBoost, CatBoost, PyCaret).
Experience with end-to-end data pipelines, from data preprocessing and feature engineering to model deployment and evaluation.
Practical experience with MLOps concepts like AI evaluation workflows, model benchmarking, and automated pipelines.
Exposure to advanced topics like conversational AI (LangChain, FastAPI, LLMs) and real-time dashboards (Streamlit).

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

About

Highly motivated Computer Science and Engineering student with 1.1 years of hands-on experience in data science, AI, and machine learning. Skilled in developing and deploying data-driven solutions, building recommendation engines, and performing in-depth data analysis. Proven ability to optimize models, automate pipelines, and drive significant improvements in user engagement and system reliability through strong technical and analytical skills.

Top Skills

PythonSQL

Skills

PythonSQLExcelPandasSeabornMatplotlibPower BITableauGitGithubScikit LearnFastapiKerasTensorFlowSQL ServerPostgresqlMongoDBDockerLangchainOperating SystemCompiler DesignOopsAi EvaluationCTRData PreprocessingData PipelinesLlmsObservabilitysklearnPyCaretJupyter NotebookFeature EngineeringEnsemble Modelsrandom forestXgboostAutoMLinterpretabilitySHAPNlpStreamlitPandasStorytellingSVM

Education

Indian Institute Of Information Technology, Ranchi

B.Tech · Computer Science and Engineering

August 1, 2022 – June 30, 2026

Experience

Stylumia

Data Science Intern

November 1, 2025 – Present

Bengaluru, Karnataka, India

GeeksforGeeks

MTS Data Science Intern

June 1, 2025 – August 31, 2025

Noida, Uttar Pradesh, India

CSEWhy

Data Analyst Intern

January 1, 2025 – March 31, 2025

India

Projects

PhiloAgents – Conversational AI Platform

June 1, 2026 – Present

Developing an agentic AI system for dialogue using LangChain + FastAPI, enabling dynamic reasoning workflows. Integrated MongoDB Atlas with Dockerized microservices to ensure scalable storage and smooth deployment. Implementing streaming response APIs and integrated Opik tracing, enhancing interaction and observability. Engineered the architecture to enable multi-agent interactions with a modular and reusable design framework.

Credit Risk Analysis and Risk Factor Modeling

April 1, 2025 – April 1, 2025

Built end-to-end pipeline for 30,000+ loan applications, performing feature engineering on financial data. Applied ensemble models (Random Forest, XGBoost, CatBoost) to identify key predictors of default risk. Automated model selection and hyperparameter tuning with PyCaret AutoML for optimizing trade-offs. Ensured interpretability using SHAP and feature importance analysis to generate actionable risk insights.

WhatsApp Chat Analyzer

August 1, 2024 – August 1, 2024

Built a scalable NLP pipeline to process 200MB+ chat logs with optimized parsing and tokenization. Designed visualizations including monthly trends, activity heatmaps and emoji frequency analysis for storytelling. Developed a real-time Streamlit dashboard with dynamic filtering, visual interactivity and analytical reports.

Certifications

Participant, Kaggle ML Competition (Jul. 2024)

Kaggle

July 1, 2024 – Present

Finalist, Smart India Hackathon (2024)

Unknown

January 1, 2024 – Present

Key Strengths

Strong foundational knowledge in Data Science, Machine Learning, and NLP, demonstrated through diverse projects and internships.
Proficiency in Python, SQL, and various data science libraries (Pandas, Scikit-learn, XGBoost, CatBoost, PyCaret).
Experience with end-to-end data pipelines, from data preprocessing and feature engineering to model deployment and evaluation.
Practical experience with MLOps concepts like AI evaluation workflows, model benchmarking, and automated pipelines.
Exposure to advanced topics like conversational AI (LangChain, FastAPI, LLMs) and real-time dashboards (Streamlit).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's diverse project portfolio, including conversational AI, credit risk analysis, and chat analysis, indicates a broad interest in various data science applications. Their involvement in hackathons and Kaggle competitions, along with leadership roles in university societies, suggests a proactive and collaborative mindset. The internships at Stylumia, GeeksforGeeks, and CSEWhy show adaptability to different organizational contexts. This breadth of experience and engagement aligns well with a culture that values continuous learning and diverse contributions.

Soft Skills & Operational Fit

The candidate demonstrates strong problem-solving skills through project work (e.g., resolving SDK anomalies, optimizing recommendation models). Their experience in coordinating and organizing events suggests good organizational and teamwork capabilities. The ability to automate tasks and improve efficiency (e.g., product attribution pipeline) indicates a results-oriented approach. The candidate's participation in hackathons and Kaggle competitions also points to a proactive and competitive spirit.