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Osama Fattah

AI & data @ PwC | BITS pilani | Scaler | AWS Azure GCP Certified AI Engineer

Hyderabad

6+ years of work experience

PwC India
Apr 20251 yr 5 mosPresent

Hyderabad, Telangana, India

AI Adoption & Integration team ● Part of a specialized team accelerating client AI adoption via targeted proposals, use cases, & deployments. ● Deployed cutting-edge AI technologies, including MCP-equipped fine-tuned multi-agent systems leveraging clients' vectorized databases (Chroma/Pinecone), to minimize human intervention. ● Implemented end-to-end marketing orchestration (Agentforce) & edge AI solutions for anomaly detection. Databricks ETL solutions for the Sales team ● Engineered scalable ETL pipelines with PySpark on Databricks, ingesting from SQL Server & Azure Data Lake to process 1M+ daily pharma sales transactions, optimizing ER schemas for efficient data modeling. ● Implemented source-controlled GitHub Actions CI/CD pipeline to automate Airflow DAG deployments. ● Designed complex SQL/Spark SQL queries from scratch, integrated with Airflow for batch workflows, enabling analytics and alignment with pharma sales strategies such as territory forecasting.
Actum News
Jan 20251 yr 8 mosPresent

10k downloads AI powered news, delivered Smartly
Actum News
Jan 20251 yr 8 mosPresent

Actum News
Jan 20251 yr 8 mosPresent

PwC India
Jul 20222 yrs 9 mosMar 2025

Hyderabad, Telangana, India

Product Recommendation Systems for Sales, Marketing & Application Teams ● Lead a team to hypothesize, build, test, deploy & monitor Product Recommendation Systems. ● A hybrid rec system with Matrix Factorization, semantic Word2Vec/BERT, and learning-to-rank LightGBM. ● Libraries, tools, and platforms: Docker, FastAPI, Kubernetes/Apache Airflow, Cloud Run, AWS EC2, BigQuery ● Testing: precision/recall, Cross-Validation, Catalogue coverage, A/B, Novelty, Feedback-loop testing, Scalability. GenAI & NLP Solutions for Ticketing & Support Team ● Trained a categorization - Sentiment Analysis (NLP) Model to consume & Grade the severity of user tickets. ● Deployed LLM RAG model (Llama 3.1 & Llama Index) & support tickets embeddings vector DB (chromaDB). ● Leveraging previous tickets, this tool enabled early detection of critical issues & increased the NPS score by 30%. ETL/ELT Solutions for Finance & Business Team ● Created Data pipelines to propagate data from multiple CRM/Source systems like Salesforce, SAP-HANA, GCS buckets, AWS S3 buckets, SFTP Locations, Vendor APIs, etc, to the Aggregate data warehouse in Google BigQuery. ● Built further pipelines to clean & preprocess data, calculate KPIs & propagate to Data Visualization platforms. ● Optimized data Pipelines by partitioning, indexing, creating hashmaps & other methods to reduce costs by 10%.
Scaler
Jan 20227 mosJul 2022

Bengaluru, Karnataka, India

Created churn prediction ML model ● Developed and trained a machine learning model that predicted customer churn with 90% accuracy, which enabled the business to to work more actively on candidates having a greater churn potential, resulting in a reduction of churn rate by 15% ● Utilised the numpy, pandas & XGBoost library in python for this activity Enabled autonomous primary research ● Automated primary research using web scraping APIs in Python, reducing the research time by 80% for the business intelligence unit
Hyperloop India
Sep 20201 yr 5 mosJan 2022

Hyderabad, Telangana, India

Braking and Stability
UltraTech Cement
May 20203 mosJul 2020

Uttar Pradesh, India

Optimized Manufactring processes at the factory ● Successfully optimized the cement grinding process by implementing industry best practices and adjusting macro variables such as feed rate, mill speed, and grinding media size. This led to a 3% increase in output, significantly improving production efficiency

Osama’s AI Stack

antigravity
antigravity
claudecode
claudecode

Education

Birla Institute of Technology and Science, Pilani

Bachelor of Engineering (Hons.)

Birla Institute of Technology and Science, Pilani

20184 yrs2022
International Indian School, Jeddah

Middle School

International Indian School, Jeddah

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Headline

AI & data @ PwC | BITS pilani | Scaler | AWS Azure GCP Certified AI Engineer

About

AWS Azure GCP certified AI-Data Engineer & BITS Pilani alum with 4 years of consulting experience at PwC, expert in AI/ML/DS/DE/ETL solutions. Seeking to architect scalable systems for actionable insights and adoption.

Location

Hyderabad

AI stack

antigravity

claudecode

Work experience

Senior Associate Consultant (Client Facing) at PwC India, Apr 2025 - Present · 1 yr 5 mos, Hyderabad, Telangana, India, AI Adoption & Integration team ● Part of a specialized team accelerating client AI adoption via targeted proposals, use cases, & deployments. ● Deployed cutting-edge AI technologies, including MCP-equipped fine-tuned multi-agent systems leveraging clients' vectorized databases (Chroma/Pinecone), to minimize human intervention. ● Implemented end-to-end marketing orchestration (Agentforce) & edge AI solutions for anomaly detection. Databricks ETL solutions for the Sales team ● Engineered scalable ETL pipelines with PySpark on Databricks, ingesting from SQL Server & Azure Data Lake to process 1M+ daily pharma sales transactions, optimizing ER schemas for efficient data modeling. ● Implemented source-controlled GitHub Actions CI/CD pipeline to automate Airflow DAG deployments. ● Designed complex SQL/Spark SQL queries from scratch, integrated with Airflow for batch workflows, enabling analytics and alignment with pharma sales strategies such as territory forecasting.

Co-Founder at Actum News, Jan 2025 - Present · 1 yr 8 mos, 10k downloads AI powered news, delivered Smartly

Designer at Actum News, Jan 2025 - Present · 1 yr 8 mos

Web Developer at Actum News, Jan 2025 - Present · 1 yr 8 mos

Associate - Tech consulting (Client-facing) at PwC India, Jul 2022 - Mar 2025 · 2 yrs 9 mos, Hyderabad, Telangana, India, Product Recommendation Systems for Sales, Marketing & Application Teams ● Lead a team to hypothesize, build, test, deploy & monitor Product Recommendation Systems. ● A hybrid rec system with Matrix Factorization, semantic Word2Vec/BERT, and learning-to-rank LightGBM. ● Libraries, tools, and platforms: Docker, FastAPI, Kubernetes/Apache Airflow, Cloud Run, AWS EC2, BigQuery ● Testing: precision/recall, Cross-Validation, Catalogue coverage, A/B, Novelty, Feedback-loop testing, Scalability. GenAI & NLP Solutions for Ticketing & Support Team ● Trained a categorization - Sentiment Analysis (NLP) Model to consume & Grade the severity of user tickets. ● Deployed LLM RAG model (Llama 3.1 & Llama Index) & support tickets embeddings vector DB (chromaDB). ● Leveraging previous tickets, this tool enabled early detection of critical issues & increased the NPS score by 30%. ETL/ELT Solutions for Finance & Business Team ● Created Data pipelines to propagate data from multiple CRM/Source systems like Salesforce, SAP-HANA, GCS buckets, AWS S3 buckets, SFTP Locations, Vendor APIs, etc, to the Aggregate data warehouse in Google BigQuery. ● Built further pipelines to clean & preprocess data, calculate KPIs & propagate to Data Visualization platforms. ● Optimized data Pipelines by partitioning, indexing, creating hashmaps & other methods to reduce costs by 10%.

Strategy Intern at Scaler, Jan 2022 - Jul 2022 · 7 mos, Bengaluru, Karnataka, India, Created churn prediction ML model ● Developed and trained a machine learning model that predicted customer churn with 90% accuracy, which enabled the business to to work more actively on candidates having a greater churn potential, resulting in a reduction of churn rate by 15% ● Utilised the numpy, pandas & XGBoost library in python for this activity Enabled autonomous primary research ● Automated primary research using web scraping APIs in Python, reducing the research time by 80% for the business intelligence unit

Mechanical Engineer at Hyperloop India, Sep 2020 - Jan 2022 · 1 yr 5 mos, Hyderabad, Telangana, India, Braking and Stability

Research Intern at UltraTech Cement, May 2020 - Jul 2020 · 3 mos, Uttar Pradesh, India, Optimized Manufactring processes at the factory ● Successfully optimized the cement grinding process by implementing industry best practices and adjusting macro variables such as feed rate, mill speed, and grinding media size. This led to a 3% increase in output, significantly improving production efficiency

Education

Bachelor of Engineering (Hons.), Birla Institute of Technology and Science, Pilani

Middle School, International Indian School, Jeddah