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Data Scientist@PDAI | AI/ML@Flynetics | DS@Corteva | University Gold Medalist🏅 | Computer Vision | Machine Learning | Artificial Intelligence | GenAI | LLMs | Deep Learning | NLP | AWS | AgenticAI | RAG | MLops
I'm an insightful Data Scientist who is passionate about AI and her dreams. I believe in self-exploration and thus, I love to learn new things to add to my skill set and knowledge. Vision, commitment, and dedication have aided me to grow myself. I'm currently on the lookout for exciting opportunities in AI/ML and I'm ready to hit the ground running! I have a good grasp on- ● Machine Learning, Computer Vision, and Deep Learning, LLMs, GenAI. ● Statistical Analysis. ● Skilled in Python, and SQL. When I'm not developing or thinking about a project, I like to play badminton, listen to music, read books, hanging out with my family. 🚀Let's connect: If you know any opportunities or would like to discuss how can I bring value to your team. Please reach out to me on LinkedIn or mail me on chinnibhargavi123@gmail.com Medium: https://medium.com/@bhargavi_guddati
Massachusetts Institute of Technology
Online Post Graduate Program Micro masters Course , Data Science and Machine Learning
May 1, 2024 – May 1, 2025
Apeejay Stya Education (Svran Foundation)
Bachelor of Technology - BTech, CSE with Specialization in Cloud Computing and AI
September 1, 2019 – May 1, 2023
Narayana Institute
12th Intermediate Tanuku, East Godavari
April 1, 2019 – Present
Sri Chaitanya College of Education
10th Grade, Tanuku, East Godavari
April 1, 2017 – Present
Popular Digital AI
Data Scientist
June 1, 2025 – December 1, 2025
Bengaluru, Karnataka, India · On-site
Flynetics Systems Private Limited
AI/ML Engineer
February 1, 2025 – June 1, 2025
Bengaluru, Karnataka, India · Remote
Corteva Agriscience
Imaging Data Science - Computer Vision
June 1, 2023 – January 1, 2024
Hyderabad, Telangana, India
Linked List Technologies LLP
Frontend Developer
March 1, 2023 – June 1, 2023
Gurugram, Haryana, India · Remote
Radix Educational Trust
Data Science Intern
October 1, 2022 – October 1, 2022
Remote
Doctor(s) Note
Jr. Android App Developer
September 1, 2022 – November 1, 2022
Kolkata, West Bengal, India
National Service Scheme
Volunteer
February 1, 2022 – June 1, 2022
Apeejay Stya University
Digiyoda Media Group
Data Annotator
September 1, 2021 – November 1, 2021
Hyderabad, Telangana, India
Techfest, IIT Bombay
Campus Ambassador
December 1, 2020 – February 1, 2021
Remote
Rotaract District 3011
Volunteer
July 1, 2020 – July 1, 2021
Gurugram, Haryana, India
Developing Applications for the Java EE 7 Platform
Oracle
June 25, 2026 – Present
Master's Course in Artificial Intelligence
IBM
June 25, 2026 – Present
Android App Development
Internshala
June 25, 2026 – Present
Badge Earner of Build your own Chatbot
IBM
June 25, 2026 – Present
HTML Javascript and XML
Oracle
June 25, 2026 – Present
Java SE 8 Programmer II
Oracle
June 25, 2026 – Present
Java SE: Programming 1
Oracle
June 25, 2026 – Present
Oracle Database 12c: SQL and PL/SQL Fundamentals.
Oracle
June 25, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a breadth of experience across different companies and roles, from internships in frontend development and data annotation to full-time roles in data science and AI/ML. This diversity suggests adaptability. The ongoing MicroMasters from MIT indicates a commitment to continuous learning. However, the short durations of recent full-time roles (4-7 months) might raise questions about long-term commitment or fit, which would require further investigation. The target role of ML Engineer aligns well with the candidate's recent experience and educational pursuits.
Soft Skills & Operational Fit
The candidate's resume indicates participation in volunteer activities (National Service Scheme, Rotaract District 3011) and a Campus Ambassador role, suggesting potential for teamwork and communication. However, without specific psychometric test results or interview data, it is difficult to assess soft skills and operational fit comprehensively. The experience descriptions are brief, limiting insight into collaboration or problem-solving approaches.