Work Experience

Drexel University

Project - Acoustic Scene Classification of Heart Sounds

Dataset Analysis and Preprocessing

Analyzed the Circor Heart Sound dataset from PhysioNet.
Reduced noise and extracted crucial features such as MFCCs.
Computed STFT, wavelet transform coefficients, and EMD coefficients using OpenSmile.

Deep Learning Implementation

Utilized CNNs, LSTMs, and SVM for heart sound classification.
Classified heart sounds into normal or abnormal categories based on the presence of murmurs.
Applied PCA and t-SNE for dimensionality reduction to simplify the data while preserving essential patterns.

Automated Cross-Validation

Implemented automated 5-fold cross-validation for robust data analysis.
Utilized extracted features for model evaluation.
Demonstrated expertise in preprocessing, feature extraction, and performance analysis to ensure reliable model performance.

Data Science Research Assistant

September 2023 - December 2023

Anmerkung Solutions Private Limited

Data Analytics Engineer

August 2020 - August 2022

AI/ML In-House Tool Development

Played a crucial role in developing an in-house 2D annotation tool at Anmerkung Solutions to semi-automate the annotation of vision-based automotive data.

R&D Initiatives: Optimized a MobileNet/YOLO inspired architecture, automating 90% of visual-data annotation for autonomous driving systems.
Backend Development: Collaborated cross-functionally to build RESTful APIs (Java/Spring) for backend optimization and streamlined data integration.
Tuned hyperparameters to prioritize true-positives/negatives, improving detection accuracy and reducing manual corrections by 60%.

Data Analysis

Worked on the design and implementation of scalable data analytics frameworks using Python and R, slashing data processing time by 30% for OCR tool teams and annotation workflows.
Engineered ETL pipelines using SSIS/Informatica, integrating annotation tools/external datasets to boost data reliability for analytical workflows.
Optimized SQL queries for annotation data extraction/transformation, accelerating query performance by 20% and team-wide task efficiency.
Built dynamic Power BI dashboards with SQL/Python automation scripts, monitoring annotator performance to improve real-time decision-making and business agility.
Generated SSRS/SAP BusinessObjects reports tracking KPIs (detection accuracy, false positives/negatives), improving stakeholder visibility.
Analyzed OCR tool KPIs (accuracy, latency) and boosted GD&T symbol recognition to 94% via ML-driven approaches, reducing manual drafting efforts significantly and aligning outputs with industry standards.

Sign Board Detection

Involved in a project aimed at developing a custom YOLO-based model for detecting road signs, specifically tailored for Indian road conditions.

Model Development: Assisted in the development and optimization of a model trained on 3,000 images, covering 10 signboard classes. Achieved an 85% accuracy rate by focusing on true positives and minimizing false negatives, reducing the need for manual corrections.

GD&T Symbol Recognition

Participated in a project to develop an OCR tool for detecting Geometric Dimensioning and Tolerancing (GD&T) symbols in 2D mechanical drawings.

OCR Tool Development: Collaborated with a team to develop a tool that achieved 90% accuracy in detecting GD&T symbols, streamlining the quality control process in manufacturing by reducing manual inspections.

Weezy Streetwear

Content Creation and Marketing

Joined as a freelancer, curating, shooting, and editing video advertisements.
Contributed to the brand's marketing campaigns and enhanced its online presence.

Digital Content and Marketing Strategies

Delivered 8 professionally shot and edited video advertisements, leading to a significant increase in online engagement over six months.

Supply- Chain Analysis

Reduced overstock by 30% through trend analysis and inventory optimization, enhancing inventory management.
Developed a dynamic supply chain model that balanced demand and supply, resulting in an inventory turnover of 30 days.
Streamlined data processing and insights generation by designing and maintaining ETL pipelines, ensuring clean and reliable data for inventory and sales analysis

Funnel optimization [Product Listing Page(PLP) to Product Detail Page(PDP)]

Boosted add-to-cart rates by 1.2% and improved final conversion rates by 0.3% by identifying key drop-off points and implementing targeted discount strategies

Cross-Functional Collaboration

Acted as a liaison between marketing, product development, and operations teams.
Aligned data-driven strategies with business objectives to optimize processes and boost profitability.

Freelance Trend Analyst /

Content Creator

July 2021 - April 2022

Curious about my professional escapades? LinkedIn is your next stop

My LinkedIn

(click on the logo)

Also, here is my fancy sheet of paper

My Resume