Saswati Giri
Hyderabad
Summary
Innovative GenAI Solutions Developer at Qualcomm, adept in machine learning and data science, achieved a 95% accuracy in automated invoice matching. Skilled in statistical analysis and visualization, I excel at transforming complex data into actionable insights, fostering collaboration and driving efficiency across teams. Passionate about leveraging technology for impactful solutions.
Overview
4
4
years of professional experience
1
1
Certification
Work History
GenAI Solutions Developer
Qualcomm
08.2024 - 02.2025
- Developed a groundbreaking GenAI-powered platform to empower the Investor Relations (IR) team in strategizing for upcoming earnings calls, ensuring informed decision-making and investor engagement.
- This first-of-its-kind solution integrates: Historical Qualcomm earnings data, indexed in Azure AI Search, covering five years of quarterly earnings reports, call transcripts, and executive insights.
- Peer analysis documents, enabling comparative assessments of market trends and competitive positioning.
ML BU Forecast Developer
Qualcomm
04.2024 - 07.2024
- This project aims to improve forecast accuracy and reduce inventory costs.
- This project will use a data-driven model to enhance forecast accuracy and improve operational efficiency with an estimated annual benefits of $1.1M, potentially saving millions of dollars annually.
- Project involves statistical modelling, data recording and self-service reporting.
Activations Forecast Developer
Qualcomm
10.2023 - 03.2024
- Handset BU captures real time device activation/third party (counter point, sinomr, bci, cmr) competitive data and gather metrics to compare shipments vs device sold/activated to identify sitting inventory stocks with OEMs.
- This ecosystem aims to identify historical pattern and guide further forecast patterns and helps in planning supply and financials.
- This framework works as One source of truth for the BU for units planning in real time.
Chip Code Anomalies Identification Developer
Qualcomm
04.2023 - 09.2023
- Developed an ML-based automated OCR solution to streamline chip-code verification in semiconductor manufacturing, overcoming challenges related to manual handling errors, reticle mismatches, and swapped cassette issues.
- A key complexity was that chip codes were printed in custom fonts, making conventional OCR methods prone to misinterpretation.
- Implemented a multi-step AI-driven approach to accurately read chip-codes from Promicron images while applying predefined validation rules.
- Designed a machine learning pipeline leveraging AWS, where incoming images trigger JSON requests to AWS Lambda for real-time processing.
Product Test Engineering Developer
Qualcomm
04.2022 - 03.2023
- Developed an AI-driven defect classification system to enhance chipset manufacturing efficiency, reducing costs and improving semiconductor yield.
- Wafer defects must be identified early in the manufacturing process to prevent yield loss, but the complexity of multi-vendor, multi-location operations and inconsistencies in defect classification posed challenges.
- Designed a machine learning pipeline in AWS, leveraging S3 for image storage, Apache Airflow for workflow orchestration, and Automated Defect Classification (ADC) to process and categorize wafer defects.
- Model explainability was integrated using GradCAM, ensuring transparent defect classification decisions.
- Deployed 12 AOI layers in Munich and 3 models in Singapore, significantly improving defect detection accuracy and consistency.
Procurement CoE Developer
Qualcomm
11.2021 - 03.2022
- Developed an automated similarity scoring framework for PO line-item matching, streamlining invoice payments through a 3-way matching process.
- Implemented a step-wise matching strategy using Cosine Similarity (for text-based descriptions) and Euclidean Distance (for numerical values) to accurately align vendor item descriptions with Qualcomm glossary terms, addressing inconsistencies in naming conventions.
- Achieved 95% accuracy in matching, significantly reducing manual effort while ensuring 100% accuracy for third-party vendor payments by flagging exceptions for human verification.
- Deployed the solution on AWS SageMaker, leveraging Lambda for real-time processing and DynamoDB for maintaining historical mappings, enabling adaptive learning.
- Integrated AWS CloudWatch for continuous monitoring, anomaly detection, and automated alerts.
- Designed the system to incorporate a 7-8% manual intervention workflow, allowing finance teams to review complex discrepancies flagged by the AI model before final payment processing.
Nex-Gen Ops Intelligence Platform Developer
Qualcomm
04.2021 - 10.2021
- Developed the Nex-Gen Ops Intelligence Platform, a cutting-edge, data-driven solution designed to optimize cybersecurity and IT operations centres through an innovative three-dimensional framework—Exploratory, Predictive, and Prescriptive.
- By analysing operational patterns, the platform proactively identifies inefficiencies, enabling strategic intervention to address root causes.
- A key insight revealed that a specific Engineering team with newly onboarded members raised the highest number of tickets due to resolution awareness gaps.
- By implementing targeted training programs, the system helped reduce 7-10% of unnecessary tickets, improving overall efficiency.
- Additionally, the platform enhances performance through AI-driven ticket allocation, strategic training recommendations, and graph-based workforce optimization, ensuring maximum productivity and resource utilization.
Data Analytics and Data Science Framework Development
Qualcomm
- Data Analytics and Data Science Framework development: Generic framework which is applicable for any business vertical
- Data Profiling
- Entity Extraction
- Data Element Grouping
- Identify KDE
- Analytics Metadata
- Non-core Data
- Define Analytics
- Information Security and Risk Management (dept of CISO, entire organization level impact) – Insider Threat Analytics Program- Data Loss Risk Management – Security Landscape Study, Employee 360 view, Department & BU level Analysis, Leadership Culture Index, Geospatial Intelligence, Hypothesis Testing Platform (Exp vs Incidents level or Span of control vs Incidents etc.), Employee/Dept Persona development for Potential Data Loss
- Feed from Nessus, ForcePoint, FireEye, Paloalto, Bit9+Carbon Black
Education
Bachelor of Engineering in Computer Engineering - Computer Engineering
The Institute of Engineers (India) [AMIE]
KOLKATA06-2006
Skills
Data Science Specialities
Machine Learning : Linear & Logistic Regression, Decision Tree, Random Forest, K-mean Clustering, KNN, Naïve Bayes, Deep Learning
Time Series Forecast: SMA, Exponential Smoothing, ARIMA & VAR Models
Statistical Analysis: Hypothesis Testing, Correlation, Outlier Detection, Data Distribution
RDBMS: SQL Querying & Analytics
Visualization Analytics:Story Telling Dashboards leveraging advanced Visuals
Data Innovation: Entity Science, Innovation Building Blocks, Data Science Product Development & Data Innovation Framework
Affiliations
•Green Belt Certification in Data Science & Innovation from ByteIQ Analytics(6 Months program)
•Worked on use cases spanning across Campaign Mgmt., Loan Default, Demand Forecast, IT Operation Mgmt., Wine Classification
•Data Science Product Development – MathOps (Intellectual Property of ByteIQ; IP filed in Indian Patent & Trademark Office)
Certification
•ISTQB Foundation Certification
•CSTE - Certified Software Test Engineer from QAI, USA
•Software estimation technique using FP and derivation for testing estimation (2 days)
•Lean In IT Environment(1 day)
Accomplishments
15 QualStars
QBuzz Paper Presenter - 2 years in a row
Meastro Award Finalist - QInnovation
Languages
Bengali
First Language
English
Proficient (C2)
C2
Hindi
Advanced (C1)
C1
Timeline
GenAI Solutions Developer
Qualcomm
08.2024 - 02.2025
ML BU Forecast Developer
Qualcomm
04.2024 - 07.2024
Activations Forecast Developer
Qualcomm
10.2023 - 03.2024
Chip Code Anomalies Identification Developer
Qualcomm
04.2023 - 09.2023
Product Test Engineering Developer
Qualcomm
04.2022 - 03.2023
Procurement CoE Developer
Qualcomm
11.2021 - 03.2022
Nex-Gen Ops Intelligence Platform Developer
Qualcomm
04.2021 - 10.2021
Data Analytics and Data Science Framework Development
Qualcomm
Bachelor of Engineering in Computer Engineering - Computer Engineering
The Institute of Engineers (India) [AMIE]
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