RPA ML Architect Resume Lancaster, PA - Hire IT People

SUMMARY

Machine Learning and Robotic Process Automation professional with over 6 years of experience in Architecting and deployment of Machine Learning models and RPA Bots. Experienced in designing and developing technology architectures, leading innovation to enhance existing and new use cases. Experience in leading team, client interaction and requirement gathering and use case identification by design thinking. Proficient in the Python, Automation Anywhere, UiPath.

TECHNICAL SKILLS

Python Scientific Stack, R
Scikit - Learn, Tensorflow, Spacy, IBM Watson, H2O and NLTK.
Automation Anywhere (Advanced Certificate), UiPath (Diploma)
Spark, Sqoop and Hive.
Microsoft Azure
SQL, Postgres and familiar with MongoDB.

PROFESSIONAL EXPERIENCE

Confidential, Lancaster, PA

RPA ML Architect

Responsibilities:

Work closely with business to understand current process and challenges. Identify potential use cases to improve efficiency using ML and RPA tools and techniques as part of digital transformation.
Architect and provide solutions. Develop PDD and SDD. Build quick prototypes on need basis.
Explore, Ideate and Enhance existing solutions using Machine Learning besides implementing efficient solutions to new use cases.
Worked majorly on automating SAP based activities- Reading and Writing to SAP and Excel Manipulation using VBA and Python
Working on Time series models for order forecasting, NER (Named Entity Recognition), Data Extraction from pdf files using Python .
Working on optimizing processes to be environmental and resource friendly. Generated Bar codes using python and attaching to invoice pdf files. This helps in saving paper, print and Man power.
Developed model to identify people without safety helmets using deeplearning Yolo technique and Keras

Skills: Statistical Modeling, Machine Learning, NLP, Databricks, Azure Data Pipelines, Python, Sklearn, Pandas, Keras, PySpark, A/B Testing, Seaborn, Power BI, MongoDB, SQL, Docker, Hadoop, Git.

Confidential, CA

Machine Learning Architect

Responsibilities:

Chatbot development using Microsoft Azure using Node.js SDK and Python.
Application development using python to extract data from external LMS platform Docebo
Developed Recommender system to suggest courses to employees
Worked with Front End development teams to explain the requirements and integrating chatbot in webpage
Stakeholder communication, Requirement Gathering and Enduser training
POC development

Skills: Statistical Modeling, Machine Learning, NLP, Python Sklearn, Gensim, Pandas, Keras, PySpark, A/B Testing, Matplotlib, Seaborn, NoSQL (MongoDB), PostgreSQL, Git,Docker.

Confidential, San Jose, CA

Data Scientist

Responsibilities:

Deployment of AI platform (Infosys Nia) for ticket triaging, IT Log analysis for anomaly detection
Develop MTBF models using Weibull distribution
Topic Modeling and visualization using Python, LDA and Gensim
Developed a Hold prediction model to classify various types of Hold in Supply chain and order management.
Used Logistic Regression, Random Forest, SVM and XGBoost for classifying various type of Hold

Skills: Statistical Modeling, Machine Learning, NLP, Neural Networks, Genetic Programming, Python Sklearn, Gensim, Pandas, Keras, PySpark, Java, Hadoop, R, A/B Testing, Matplotlib, Seaborn, Tableau, JavaScript (D3.js), JQuery, MVC, NoSQL (MongoDB), PostgreSQL, Banner, Gephi, Docker.

Confidential, Greensboro, NC

Data Scientist

Responsibilities:

Deployment of AI platform (Infosys Nia) for ticket triaging, IT Log analysis for anomaly detection
Data ingestion from SNOW mirror using sqoop
Data Deduplication using PySpark
Team management. activities

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