Priyanshu Agnihotri

Aspiring Machine Learning Engineer & Data Scientist
Bhopal, IN.

About

Highly analytical and results-driven Bachelor of Technology student specializing in Machine Learning, Data Science, and Full-Stack Development. Proven ability to design and implement end-to-end ML pipelines, interpret complex datasets for strategic insights, and develop scalable web applications. Eager to leverage strong problem-solving skills and technical expertise to drive innovation in a dynamic tech environment.

Work

Oasis InfoByte
|

Data Analyst (INTERN)

New Delhi, Delhi, India

Summary

Analyzed extensive Google Play Store and retail sales data to identify market patterns, optimize strategies, and enhance customer personalization through data-driven insights.

Highlights

Interpreted Google Play Store data to identify critical market patterns through advanced data visualization and cleaning techniques.

Explored retail sales data via Exploratory Data Analysis (EDA) to reveal key trends, directly aiding stock and promotion strategies.

Formulated clustering models for user segmentation, driving better personalization in e-commerce marketing initiatives.

CodSoft
|

Machine Learning Developer (INTERN)

Kolkata, West Bengal, India

Summary

Developed and deployed real-time machine learning solutions for fraud detection, churn analysis, and spam filtering, enhancing operational security and customer retention.

Highlights

Developed a real-time fraud detection pipeline using Logistic Regression and Random Forest, reinforcing transaction safety and integrity.

Built predictive models for churn analysis leveraging SVM and Gradient Boosting, enabling strategic customer retention initiatives.

Implemented robust spam detection mechanisms utilizing NLP techniques (Naive Bayes, SVM) to effectively filter unwanted messages and improve user experience.

Education

VIT BHOPAL UNIVERSITY
Bhopal, Madhya Pradesh, India

Bachelor of Technology

Computer Science & Engineering

Grade: 8.41/10

Awards

Institute Rank 434 on GeeksforGeeks

Awarded By

GeeksforGeeks

Attained an institute rank of 434 on GeeksforGeeks, reflecting proficiency in coding and algorithms.

Leetcode Rank under 2,75,000

Awarded By

Leetcode

Secured a Leetcode rank under 2,75,000, demonstrating strong problem-solving skills.

AIR 310 in JEE B. ARCH Exam

Awarded By

JEE (Joint Entrance Examination)

Achieved All India Rank 310 in the JEE B. ARCH Exam, showcasing exceptional aptitude.

Certificates

AWS Certified Cloud Practitioner

Issued By

Amazon

MERN (MongoDB, Express.js, React.js, Node.js) Full Stack

Issued By

Ethnus

AI Engineering Professional Certificate

Issued By

IBM

Skills

Programming Languages

Python, R, C++, PHP, HTML/CSS, JavaScript.

Frameworks & Tools

TensorFlow, Keras, Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, Streamlit, Node.js, Express.js, React.js, PyTest, YAML, OpenAI GPT-4 API, Judge0 API, Vercel, Heroku/Render, Microsoft Office Suite.

Databases & BI Tools

MySQL, NoSQL, SQL Server, MongoDB, Power BI, Hadoop.

Developer Tools

GitHub, VS Code, Anaconda.

Development Methodologies

DSA, OOPS, Agile, Waterfall, Scrum, SDLC (Software Development Life Cycle), ETL/ELT Pipelines.

Soft Skills

Leadership, Communication, Team Collaboration, Problem Solving, Strategic Thinking, Multitask, Analytical Thinking.

Projects

AI Interview Coach

Summary

Designed and deployed an AI-driven interview coaching application generating tailored technical, behavioral, and system design questions using OpenAI GPT-4.

Pet Reunite Hub (Deployment)

Summary

Engineered a full-stack web platform to reunite lost pets with owners, integrating user authentication, pet listings, image uploads, and advanced search/filter features.

Automated ML Pipeline Generator for Scalable Cloud Integration (GCP)

Summary

Engineered an end-to-end ML pipeline generator for Google Cloud Platform, automating model migration and streamlining MLOps workflows using Python and GCP services.

Healthcare (Healthcare Platform with Age and Gender Estimation from Face images)

Summary

Developed a healthcare platform leveraging machine learning algorithms to accurately estimate age and gender from face images, enhancing diagnostic efficiency.

Multithreaded File Compressor

Summary

Built a high-performance multithreaded file compression tool using Huffman Encoding for significant size reduction and efficient file management.