KASHISH MISHRA
Data Science EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
B.Tech CSE (Data Science) Student | Data Analytics | SQL | Excel | Python | Power BI
Data Science student with a strong foundation in machine learning, data preprocessing, and data analysis. Proficient in Python and SQL, with hands on experience in data cleaning, exploratory data analysis (EDA), and data visualisation using libraries like Pandas and NumPy. Skilled in building data driven solutions, including REST APIs and scalable applications. Passionate about leveraging data analytics to solve real world problems and improve decision making.
JSS Academy of Technical Education, Noida
B.Tech · Computer Science & Engineering (Data Science)
August 1, 2023 – June 30, 2027
Dr. Virendra Swarup Education Centre, Farrukhabad
10th – CBSE
N/A – May 31, 2021
Dr. Virendra Swarup Education Centre, Farrukhabad
12th – CBSE
N/A – May 31, 2023
GAO Tek Inc.
Web Development & AI Intern
October 1, 2024 – December 1, 2024
India
Campus Connect – MERN Full Stack Platform
January 1, 2023 – December 31, 2023
Developed a scalable full-stack application using the MERN stack, optimizing MongoDB aggregation pipelines and API response times to increase workflow efficiency by 25%. Architected a secure authentication layer using JWT (JSON Web Tokens), implementing token based session management and encrypted middleware to protect sensitive user data. Designed and deployed RESTful microservices to handle high concurrency user requests, ensuring seamless data synchronization between the React frontend and Node.js backend.
Agribots - AI Based Crop Recommendation System
January 1, 2023 – December 31, 2023
Engineered a predictive model using PyTorch and advanced data preprocessing techniques, resulting in a 20% improvement in classification accuracy. Architected an automated data pipeline to ingest and synthesize real time weather and soil metrics from multiple REST APIs, supporting 50+ diverse agricultural scenarios. Optimized model performance through hyperparameter tuning and rigorous cross validation, ensuring robust prediction reliability across varying environmental datasets.
Legal Data Pipeline
January 1, 2023 – December 31, 2023
Built a legal data pipeline that crawls web pages, cleans HTML/PDF content, splits text into chunks, and extracts structured information from unstructured legal documents. Developed a hybrid NER system using regex and spaCy to identify entities like sections, acts, dates, money, and organizations, and evaluated performance using precision, recall, and F1 score.
Remote Sensing & Digital Image Analysis
ISRO IIRS
June 1, 2026 – Present
Python Programming
Infosys Springboard
June 1, 2026 – Present
Generative AI for All
Physics Wallah (in collaboration with Microsoft)
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a breadth of interests from full-stack development to AI-based crop recommendation and legal data processing, indicating adaptability and a willingness to explore different domains. The 'Data Science' specialization in their B.Tech and the 'Data Science Engineer' target role show clear alignment. The certifications in Generative AI and Remote Sensing further broaden their skill set, suggesting a proactive learning attitude. However, the experience is primarily academic, and the single internship is short, which might limit exposure to diverse corporate cultures and large-scale team environments.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving skills (optimizing MongoDB pipelines, improving classification accuracy) and an ability to work with diverse data sources. The internship experience, though short, shows practical application of AI and web development. Participation in 'Youth for a Cause' and 'Muskurahat Foundation' suggests a collaborative and socially conscious mindset, which can contribute positively to team dynamics and cultural fit.