Mohammed Azik — Data Scientist
Data Scientist with about 6 years of experience working with NLP, TimeSeries and LLM development concepts. Worked primarily with Azure Services. Entire technical stack would include Python, Pandas, PySpark, Matplotlib, Seaborn, Machine Learning, Natural Language Processing, Time Series Forecasting, LangChain, LangGraph, Streamlit, Django Framework, MySQL Server, Microsoft Power BI, Tableau Software, AWS, Azure Services and Retrieval-Augmented Generation. Have completed a Data Science Post Graduate program from Great Lakes Institute of Management. Certified in Microsoft Power BI and Oracle from Udemy as self learn projects. Mu Sigma Experience: Contributed to the Data Engineering team by building data models for a carbon emissions tracking application across the pet food lifecycle, enabling a global FMCG client to target a 50% emissions reduction. Developed an LLM-powered chatbot using LangChain with Streamlit and Django, automating business insight generation and saving ~200 manual hours per week per Business Planner. Led a seven-member team in executing an end-to-end pilot migration of four data products to Azure Cloud, delivering critical workloads on time with zero quality issues and ensuring seamless business continuity. Converted a reporting dashboard initiative into a recurring engagement by delivering Supply Planning KPIs for a global FMCG client, generating over USD 40K in monthly revenue. Built a PoC that scaled into a full engagement by leveraging OCR and LLMs to extract contract data into a centralized data foundation, enabling KPI dashboards on vendor performance, lead times, and inventory. Kaar Technologies Experience: Developed and productionalized a Time Series–based AutoML model to forecast weekly retail sales for enterprise clients. Built and deployed a recommendation system on Azure Databricks to deliver financial hedging insights for FMCG products based on historical and forecasted trends. Collaborated with clients daily to gather requirements, align on timelines, and coordinate delivery. Amazon Experience: Worked as a Data Associate at Alexa Data Services, improving Alexa’s speech recognition through reinforcement training workflows. Processed high volumes of customer data using in-house ML tools for AI optimization. Led Knowledge Transfer sessions to transition associates to production and supported cross-team process improvement initiatives.
Stackforce AI infers this person is a Data Scientist specializing in NLP and Cloud Computing for FMCG and Retail sectors.
Location: Bengaluru, Karnataka, India
Experience: 7 yrs 1 mo
Skills
- Cloud Computing
- Data Engineering
- Natural Language Processing
- Machine Learning
- Data Analysis
- Business Strategy
- Sustainability
- Predictive Analytics
- Data Management
- Process Optimization
- Project Management
Career Highlights
- Led a successful Azure Cloud migration with zero quality issues.
- Developed an LLM-powered chatbot saving 200 hours weekly.
- Generated over USD 40K monthly revenue through KPI dashboards.
Work Experience
Tailwyndz LLC
Data Scientist (3 mos)
Mu Sigma Inc.
Apprentice Leader (1 yr 2 mos)
Trainee Decision Scientist (1 yr 1 mo)
Kaar Tech
Associate Data Scientist (1 yr 2 mos)
Amazon Development Center
Data Associate (2 yrs 10 mos)
Isometrix Interior Design
Site Engineer (7 mos)
Education
Postgraduate Degree at Great Lakes Institute of Management
BTech - Bachelor of Technology at TeamLogics
