Mr. Aditya R. Athawale

Aspiring AI Engineer | Python • NLP • Deep Learning • MLOps | Published Author & Researcher

Amravati, IN.

About

Highly motivated and results-driven AI Engineer with hands-on experience in building, deploying, and optimizing machine learning models across diverse domains. Proven expertise in Python, TensorFlow, Scikit-learn, and MLOps practices, complemented by a strong foundation in NLP, Deep Learning, and GenAI principles. As a published author and researcher, I bring a unique blend of academic rigor and practical application in developing scalable, production-ready AI solutions. Eager to leverage a comprehensive skill set in data analysis, model deployment, and cybersecurity to drive impactful innovation and contribute to advanced AI systems.

Work

Technopoint Solutions

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Cyber Security Intern

Mumbai, Maharashtra, India

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Summary

Spearheaded cybersecurity and MDM solution deployments, significantly enhancing security features and reducing operational inefficiencies for Arcil.

Highlights

Led 90-day sprints for cybersecurity and Mobile Device Management (MDM) solutions, deploying critical security features and effectively reducing cyber threats.

Contributed to 3+ diverse use cases, including MDM, XDR, and EDR, achieving a 70% reduction in resource wastage through optimized security protocols.

Collaborated on implementing the Sequrite (Quick Heal) platform, strengthening Arcil's overall cybersecurity posture and data protection.

CODSOFT Pvt. Ltd.

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Data Analytics Intern

Kolkata, West Bengal, India

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Summary

Analyzed learner data using Python to identify trends and create visualizations, significantly improving academic performance insights.

Highlights

Analyzed comprehensive learner data using Python, identifying critical trends to enhance academic performance and learning strategies.

Developed informative infographics and dashboards, visually reflecting individual strengths and weaknesses to guide targeted interventions.

Conducted detailed trend analysis of periodic tests with real-world datasets, providing actionable insights for educational improvement.

JPMorgan Chase & Co.

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Software Engineering Virtual Intern

Virtual, Remote, US

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Summary

Developed and optimized a real-time financial data visualization system, enhancing both user experience and data accuracy.

Highlights

Developed a real-time financial data visualization system, integrating live stock price feeds to provide up-to-date market insights.

Optimized front-end usability, improving user experience and data accessibility for financial analysis.

Enhanced backend data accuracy through robust optimization techniques, ensuring reliable financial reporting.

Education

P.R. Pote Patil College Of Engineering & Management

Amravati, Maharashtra, India
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B.E. Artificial Intelligence & Data Science Grade:

Prabodhan Mahavidhyalaya

Daryapur, Maharashtra, India
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12th Grade General Science Grade: 81.67%

Prabodhan Vidhyalaya

Daryapur, Maharashtra, India
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10th Grade SSC Board Grade: 66.60%

Awards

Copyright for NLP-based AI Solution for Text Classification

Government of India

Granted official copyright registration for original authorship on the book and project model, specifically an NLP-based AI solution for text classification, affirming intellectual property rights.

Publications

SENTIMENT ANALYSIS OF SOCIAL MEDIA PRESENCE

International Journal for Research in Applied Science and Engineering Technology (IJRASET)

Published research paper detailing a sentiment analysis of social media presence, contributing to the academic understanding of NLP applications.

SENTIMENT ANALYSIS OF SOCIAL MEDIA PRESENCE

Amazon Kindle

Co-authored a technical book covering the full cycle of model development, evaluation, and documentation for sentiment analysis, available via Amazon Kindle (ISBN: 979828183851).

Languages

English

Hindi

Certificates

Google Data Analytics

Coursera

Data Analytics Essentials

Cisco

Google Cloud: Big Data & Machine Learning

Coursera

Python for Data Science

NPTEL

Data Visualization

TATA Insights

Skills

Programming Languages & Frameworks

Python, NumPy, Pandas, TensorFlow, Scikit-learn, PyTorch, R, SQL, Bash, React, FastAPI, Flask, Tkinter.

AI/ML Concepts

Supervised Learning, Unsupervised Learning, Deep Learning, Model Evaluation, Transfer Learning, Model Deployment, Prompt Engineering, LLMs, RAG, GenAI Principles, Text Classification, Fine-tuned Embeddings, Sentiment Analysis.

MLOps & Development Tools

Docker, Git, MLflow, Google Colab, Jupyter, GCP (Beginner), Streamlit, REST APIs, CI/CD (basic), Version Control, Linux, VS Code.

Data Analysis & Visualization

Data Analytics, Data Visualization, Power BI, DAX, Excel, Infographics, Dashboards, Trend Analysis.

Cybersecurity

Cybersecurity Solutions, MDM (Mobile Device Management), XDR (Extended Detection and Response), EDR (Endpoint Detection and Response), Sequrite (Quick Heal).

Soft Skills

Problem-Solving, Deployment Mindset, Team Collaboration, Research Thinking, Strategic Planning, Stakeholder Management, Process Optimization.

Projects

AI Sentiment Dashboard - NLP

Summary

Developed a multilingual sentiment analysis tool leveraging Natural Language Processing and GenAI principles.

E-Commerce Sales Dashboard - Power BI

Summary

Created an interactive Power BI dashboard for e-commerce sales analysis.

Jarvis - AI Voice Assistant in Python

Summary

Developed a voice-controlled AI assistant for web automation and system control.

To-Do List & Weather App – Python

Summary

Developed mini productivity tools with API integration.