Meghana Manvitha Venna
Data AnalystAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer in ADAS | Deep Learning, Edge Inference, Model Compression | Interested in multimodal & biomedical ML
I'm currently on the lookout for new opportunities where I can dive deeper into deep learning and machine learning. I love working with cutting-edge research and want to be part of developing some amazing products. I've got experience working on deep learning-based Advanced Driver Assistance Systems (ADAS) and have worked on state-of-the-art model quantization strategies like post-training quantization and quantization-aware training. I’m always eager to learn more in this space. I’ve also worked with speech and audio-based deep learning models. Right now, I’m really interested in exploring deep learning inference on edge devices, model compression, and advanced quantization techniques. If you have a project or role where these skills can make an impact, I’d love to take part in it.
Indian Institute of Information Technology Design & Manufacturing Kancheepuram
Bachelor of Technology - BTech, Computer Science
December 1, 2020 – December 1, 2024
FIITJEE
JUNIOR COLLEGE
January 1, 2018 – January 1, 2020
Sri Chaitanya Techno School
SSC
N/A – Present
Valeo
Associate Software Engineer
September 1, 2025 – June 1, 2026
On-site
Valeo
Graduate Engineer Trainee
September 1, 2024 – August 1, 2025
On-site
Valeo
R&D intern, Comfort and Driving Assistance
November 1, 2023 – August 1, 2024
On-site
Indian Institute of Information Technology Design & Manufacturing Kancheepuram
Teaching Assistant
July 1, 2023 – November 1, 2023
Indian Institute of Information Technology Design & Manufacturing Kancheepuram
Deep Learning Research Intern
January 1, 2023 – August 1, 2023
Web Scraping and Data Analysis of Airplane Crashes
June 1, 2023 – June 1, 2023
> Developed a Python script utilizing Beautiful Soup to parse web page (planecrashinfo.com) and extract crucial data like country of occurrence, aircraft type, fatalities, passengers aboard, and ground casualties. > Implemented data cleaning procedures to ensure the accuracy and quality of the collected data > Created a well-structured and organized data frame ready for data visualizations and advanced analytics.
Diagnosis of Alzheimer’s Dementia using Deep learning based acoustic analysis
May 1, 2023 – August 1, 2023
• Speech data is a promising modality for continuous monitoring of Alzheimer's, as it can be collected in real time and evaluated for subtle changes that may indicate disease progression. • Extracted log Mel, MFCC, GFCC and BFCC cesptral coefficients from audio interviews of elderly individuals from famous Interspeech ADReSS challenge dataset. • Implemented customized EfficientNet B0 model to classify audio samples for Alzheimer’s dementia detection using pure acoustic signals • Achieved 73% classification accuracy with 0.73 precision rate, one of the best results using pure acoustics • Acoustic nature of the model makes it globally applicable and consistent performance makes it suitable to be extended to real time evaluation for AD diagnosis.
Marketing Data Analysis
May 1, 2023 – May 1, 2023
> Gained comprehensive understanding of the average customer behaviour and analyzed the success of each campaign run by the company. > Employed the Ask, Prepare, Process, Analyze, Share, and Act approach for each question > This project helped me understand how to ask questions while performing Data analysis, how to back up business decisions with data
International Conference on Emerging Electronics and Automation
INSEES - Instrumentation and Electronics Engineering Society, NIT Silchar
June 25, 2026 – Present
Deep Learning
Kaggle
June 25, 2026 – Present
Machine Learning in Production
DeepLearning.AI
June 25, 2026 – Present
Computer Vision
Kaggle
June 25, 2026 – Present
Intro to Machine Learning
Kaggle
June 25, 2026 – Present
Neural Networks and Deep Learning
DeepLearning.AI
June 25, 2026 – Present
Python
Kaggle
June 25, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including deep learning for medical diagnosis, web scraping, and marketing data analysis, indicates a broad interest in applying data skills across different domains. The academic background and internship experiences suggest a collaborative and learning-oriented mindset. However, the professional experience listed with Valeo is future-dated and does not provide current insights into cultural fit or work style. The target role of Data Analyst aligns well with the candidate's project experience in data analysis and machine learning applications.
Soft Skills & Operational Fit
The candidate's experience as a Teaching Assistant suggests good communication and mentoring skills. Project descriptions indicate an organized approach to data analysis and problem-solving. The variety of projects, from deep learning to web scraping, shows adaptability and a willingness to learn diverse technical areas.