SINDHU SREE KONAPAREDDY
@sindhusreekonaparedd
I am an aspiring AI/ML engineer skilled in Python and data-driven solutions.
What I'm looking for
I am an aspiring AI/ML engineer with hands-on experience in Python, data science, and machine learning; I have built and maintained 9+ Python mini-projects on GitHub focused on real-world logic, data processing, and user-driven inputs. I completed internships including a role at Skilldzire Technologies where I contributed to product design analysis, development life cycle planning, and usability testing.
I have developed classification and regression models, implemented dashboards and automation scripts, and applied tools such as Pandas, NumPy, scikit-learn, Matplotlib, Seaborn, Flask and Git. I am actively upskilling in Generative AI, prompt engineering and basic cybersecurity via TryHackMe and seek to join an impact-driven team where I can deliver production-ready ML solutions while continuing to learn.
Experience
Work history, roles, and key accomplishments
Product Intern
Skilldzire Technologies Pvt Ltd
Jan 2024 - May 2024 (4 months)
Contributed to product design analysis and development lifecycle planning, assisting senior engineers with feature requirements and usability testing to inform solution blueprints.
Education
Degrees, certifications, and relevant coursework
Vemu Institute of Technology
Intermediate (Class XII), Intermediate
Grade: 7.00 CGPA
Completed Class XII (Intermediate) at Vemu Institute of Technology with CGPA 7.00 in 2020.
Z.P.H.S. High School, Polavaram
Secondary School Certificate (Class X), Secondary Education
Grade: 9.7 CGPA
Completed Class X at Z.P.H.S. High School, Polavaram with CGPA 9.7 in 2018.
Vemu Institute of Technology
Bachelor of Technology, Mechanical Engineering
Grade: 79.8%
Activities and societies: Academic project: Performance and Emission Analysis on Waste Cooking Oil Biodiesel with ZnO additive in CRDI Diesel Engine.
Bachelor of Technology in Mechanical Engineering from Vemu Institute of Technology (affiliated to JNTU Anantapuram), scored 79.8%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
github.com/sindhu692/sindhu.pyJob categories
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