Snigdha Kambhampati
•Investigation Associate at Amazon
Bengaluru
2+ years of work experience
Mar 20267 mosPresent
Jul 20244 mosOct 2024
Bengaluru, Karnataka, India
This internship provided hands-on exposure to data analytics, ETL processes, and business intelligence within a real-world research environment. My work involved analyzing large-scale datasets, optimizing data pipelines, and developing interactive Tableau dashboards that delivered actionable insights for strategic and operational decisions.
Throughout this experience, I developed and strengthened key skills, including:
✅ Data Cleaning & ETL Processes – Building efficient data pipelines to ensure accuracy, consistency, and reliability.
✅ SQL & Database Management – Querying and optimizing large datasets for reporting and analysis.
✅ Data Visualization with Tableau – Designing dynamic dashboards to uncover key trends and performance indicators.
✅ Automation with Python – Streamlining data workflows and reporting tasks to improve efficiency.
✅ Insight Communication – Translating analytical findings into clear, data-driven stories for both technical and non-technical audiences.
✅ Decision Intelligence – Leveraging data insights to support evidence-based decision-making and organizational planning.
Aug 20231 yr 6 mosJan 2025
Bengaluru, Karnataka, India
As Vice President of the Data Science Club, I led a team of 50+ members, overseeing all club operations, event management, and technical initiatives. My role focused on fostering a community of learners passionate about data science, machine learning, and analytics, while building industry connections and hands-on learning experiences.
Key contributions and achievements include:
✅ Leadership & Management – Directed and co-led club activities, coordinated workshops, and enhanced member engagement across all levels.
✅ Technical Training & Workshops – Organized hands-on sessions on machine learning, Python programming, and data visualization, helping members strengthen practical skills.
✅ Industry Collaboration – Partnered with professionals and guest speakers to conduct seminars and networking events for real-world exposure.
✅ Branding & Promotion – Spearheaded club branding, designing marketing materials and campaigns to boost visibility and participation.
✅ Mentorship – Guided junior members through projects, code reviews, and technical discussions, promoting a collaborative learning culture.
Jul 20232 mosAug 2023
India
This project focused on building a predictive model for diabetic risk assessment using Support Vector Machine (SVM), achieving a 93% accuracy rate in a live test environment. The model was developed to analyze patient health data and identify key indicators contributing to diabetes risk.
Throughout this project, I gained practical experience and strengthened the following skills:
✅ Data Preprocessing & Cleaning – Managed large-scale patient datasets using Pandas and NumPy, addressing missing values and normalizing data for model readiness.
✅ Feature Engineering & Selection – Applied one-hot encoding, feature scaling, and other transformation techniques to enhance predictive accuracy.
✅ Model Development with SVM – Implemented and tuned a Support Vector Machine classifier to optimize precision and recall performance.
✅ Model Evaluation – Assessed performance using key metrics such as accuracy, precision, recall, and F1-score, ensuring balanced predictions.
✅ Machine Learning Pipeline Implementation – Built and automated an end-to-end ML workflow with scikit-learn, covering data ingestion, training, and deployment stages.
✅ Applied Python for ML – Demonstrated strong command over Python libraries including Pandas, NumPy, scikit-learn, and Matplotlib for analysis and visualization.
Snigdha’s AI Stack
Education
Bachelor of Technology ( Hons.), Computer Science and Engineering - Data science
Jain (Deemed-to-be University)
20214 yrs2025
Join Snigdha and 10k+ other professionals on
Tal is the app where bosses meet engineers & builders directly, without middlemen
Download Tal Boss