Feb 2024 – Present · 2 yrs 1 mo · Remote

• Develop ppt and video content on various GenAI tool like ChatGPT, Data Squirrel ,Tomat and AI concept likeML/NLP/Deep Learning including python

Nov 2022 – Present · 3 yrs 4 mos · Remote

• Responsible to prepare content related to python, Data Science, ML, AI ,Tableau and Deliver lectures on the same.
• Designed 6 month DS Bootcamp for fresher graduates

Aug 2022 – Present · 3 yrs 7 mos

• Responsible to deliver training on python, Data Science , Machine Learning, Natural Language processing and Deep Learning

Aug 2021 – Present · 4 yrs 7 mos · Noida, Uttar Pradesh, India

• Project: Table Extraction and Invoice Automation using AWS Texract |Bank of Montreal, Canda | June’22 – Till Date
• Tech Stack: NLP,AWS Textract, StepFunction, S3,Lambda, pandas, python, AWS SNS, API Gateway
• Objective: Create a Invoice automation having unstructured data, borderless table using different AWS ML services and detect business related entities using NER and classify different entries in groups.
• Solution: performed OCR using AWS textract handle row/column formatting, Amount cleanup,Spell checking, Header correction ,row splitting, extra row/column checking etc using Textract,S3,Step Function, cloud formation, with more than 95% accuracy. Convert it into structure data. Perform NLP technique like semantic similarity ,fuzzy logic to categories entities
• Project: MLOPs implementation for existing projects |BMO | Jan ’22 – June22
• Tech Stack: AWS Sagemaker Studio,MLOps template
• Objective: create MLOps pipeline for extisitng project to add retaining and monitoring.
• Solution: Convert existing solution ML pipeline for model building, training, deployment and monitoring
• Project: Detection Business related entity form Agreement |BMO | Aug ’21 – Dec‘21
• Tech Stack: Python, Pytessract, PDFtoText, Spacy, Pandas, ML Algorithms,
• Objective: To build model to detect Business related entity like borrower, Loan date, rate form Agreement and create structured data
• solution: Fetched text from PDFs by using various processing and OCR then built a custom spacy model to train on custom entities validate context of output and prepared output in structure format.
• Key Achievement: Developed a model with accuracy 98%

Jun 2020 – Present · 5 yrs 9 mos · online · Remote

• ◦ This a contractual position where i take live Live/Doubt session on various topics related to Machine Learning, Natural language Processing ,Deep Learning and Python
• ◦ Assist learners to building projects related to ML, NLP and DL
• Evaluate Learners Assignment

Apr 2019 – Aug 2021 · 2 yrs 4 mos · Bengaluru Area, India

• Technology Stack: python, pyspark, numpy, pandas ,ML algorithms(Supervised, Unsupervised), SQL,scikit-learn,Keras,Restful API
• Performed data collection and cleaning using various tools and libraries like pyspark, numpy, pandas.
• EDA on customer data using Apache Spark, matplotlib library.
• Performed Feature engineering including handling missing values, class imbalance etc.
• Built ML model and evaluated over various metrices.
• Deployed over cloud using docker, kubernetes.

Oct 2018 – Apr 2019 · 6 mos · Pune Area, India

• in Capgemini, i worked as Senior Mulesoft developer where we followed API-Led connectivity architecture and built APIs for a leading Bank
• Technology Stack: JAVA, Mulesoft, SQL, POSTMAN, RAML.

Mar 2014 – May 2018 · 4 yrs 2 mos · Gurgaon, India

• In NTTDATA, I worked as Software Engineer and got chance to work on JAVA Technology(Spring, Hibernate) and REST web services and built custom web application and monitor logs using Splunk.
• Technology Stack: JAVA,Spring,SQL,Hibernate,Splunk,Jenkins