Rohan Dixit

Software Developer & Data Scientist
Nariana Vihar, 110028, New Delhi, IN.

About

Highly accomplished Software Developer and Data Scientist with over 5 years of experience in the IT industry, specializing in Python, Machine Learning, Natural Language Processing (NLP), and Data Visualization. Proven ability to leverage data-driven insights to develop scalable solutions, optimize processes, and solve complex real-world problems. Committed to continuous learning and driving innovation in data science and software development.

Work

Samarth eGov under Ministry of Education (MoE)
|

Software Developer ( ML , DS)

Summary

Developed and implemented advanced data science and machine learning solutions to optimize university admissions processes and enhance cloud infrastructure.

Highlights

Leveraged Data Science and Machine Learning techniques to develop algorithms for optimizing university seat allocation and admissions processes, significantly improving efficiency.

Integrated LLMs and Generative AI to enhance chat functionalities for university-related queries.

Designed and deployed comprehensive visualization dashboards using Grafana to present university statistics (student, employee data), enabling data-driven decision-making.

Automated cloud infrastructure optimization scripts on AWS (S3, EC2, QuickSight, RDS, Redshift), enhancing resource management and operational efficiency.

Developed internal web applications using Flask and SQL for data management, system maintenance (instance refresh, cache flush), and version control, supporting university operations.

DNA Growth
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Web Developer

Summary

Full-stack web developer applying data science techniques to generate actionable business insights and automate workflows.

Highlights

Applied Data Science methodologies for classification and analysis, generating actionable insights that informed strategic business decisions.

Developed Python automation scripts integrating HubSpot, Zoho, Google Sheets, and Google Docs APIs, significantly reducing manual effort and improving team productivity.

Led full-stack web application development using PHP Laravel, Django, and Flask, ensuring high performance, robust security, and alignment with client requirements.

Managed and optimized WordPress websites, focusing on responsiveness and user experience.

Contributed to RESTful API development for Laravel-based applications and other development projects.

One Stop Global Solution Pvt Ltd
|

PHP Developer

Summary

Developed and maintained web solutions for diverse clients using PHP and front-end technologies.

Highlights

Developed and maintained responsive web solutions utilizing HTML, CSS, JavaScript, and PHP, enhancing online presence for diverse clients.

Implemented and customized WordPress websites for e-commerce clients, including WooCommerce integrations and custom plugin development.

Contributed to projects built on the Yii framework.

Education

Panjab University

Bachelor

Computer Applications

Languages

English

Fluent

Hindi

Native

Certificates

Machine Learning and Artificial Intelligence with Python

Issued By

Panjab University (Course)

Web Development Using PHP and MySQL

Issued By

Panjab University (Course)

Skills

Programming Languages & Frameworks

Python, Flask, Django, FASTAPI, PHP, Laravel, HTML, CSS, JavaScript, REST API.

Data Science & Machine Learning

Data Science, Machine Learning, Natural Language Processing (NLP), Generative AI (GEN AI), Large Language Models (LLM), Scikit-learn, Pandas, Numpy, Matplotlib, TensorFlow, Keras, OpenCV, BERT, FAISS, mBERT Embeddings.

Databases

MySQL, SQLAlchemy, PostgreSQL, Clickhouse, Apache Druid.

Data Visualization

Grafana, Power BI, Streamlit, Apache Superset.

Cloud & DevOps

AWS (S3, EC2, RDS, Redshift, QuickSight, DMS, KINESIS), Kafka.

CMS & Backend Tools

WordPress, WooCommerce, Strapi, Yii.

Projects

Multilingual GenAI Chatbot (RAG + LLM)

Summary

Engineered a multilingual Generative AI chatbot for university admission queries.

Smart Seat Allocation System

Summary

Developed and deployed a university seat allocation engine incorporating predictive analysis and reservation logic.

AttendEase - A Face Attendance System with CNN

Summary

Designed and implemented a precise face attendance system for universities.

Topic Fusion

Summary

Developed a Flask-based web application for data collection, EDA, and topic modeling.