Project Manager

• Aug 2022 - Present

Senior Data Scientist

• Jun 2017 - Jul 2022

Einsite is developing a hardware-software product that will automate project management function of mining and road construction projects. Created analytic insights and performance metrics for two product lines: Starting with raw data came up with proof of concepts and production ready insights by using spreadsheets, R and Python scripts. Interacted with business managers, product managers and industry experts to present the analytics outcomes and then improved these insights. Worked with data scientists to improve the accuracy. Working with computer vision engineers and product managers, created a road map of metrics and insights to be developed by the data science team. Defined data architecture: Defined database tables, time frequency of data processes and flow of data across product modules Coordinated with devops, analytics and backend teams during development, testing, deployment and production for ready and correct scripts, databases, computing instances. Led the creation of dashboards and product features: Created mock ups for web app UI development, guided the front end and backend software developers to implement the product features correctly. Led the test engineers and ensured accuracy improvement across the teams. Show less

Student

• Oct 2016 - Apr 2017

Chose this course at INSOFE for its passionate, well-known team of mentors and short intensive duration. Course gave an excellent conceptual understanding and hands on programming practice (R and Python) Key Learning: Connecting business objectives with data analytics; Architecting and building data science solutions Project: Route Optimization Solution: A cleaning services company operates a fleet of vehicles and wants to serves its customers at specified preferred time slot. Came up with program that recommends number of customers that each vehicle can serve and number of vehicles the company should deploy. Techniques: Monte Carlo Simulation, Genetic Algorithm, R Studio. Knowledge of methods (Algorithms): Machine Learning: Clustering (Hclust, K-means, K-medoids), Rule Extraction (APRIORI), Decision Trees (CART, C5.0), K-NN, SVM, ANN, Ensembles, GA, SVD, CNN, RNN Statistics: Linear regression, Logistic Regression, Time Series Text Mining, NLP: N-gram, TFIDF, PageRank, Sentiment Analysis, Summarization Engineering Big Data (Hadoop, Spark Ecosystem): Storage (HDFS), Resource Management (YARN), Parallelization (Map Reduce, BSP, Spark), Ingestion (Sqoop, Flume, Kafka, Spark streaming), Programing (Spark, Pig, Hive) Show less

VP Operations

• Feb 2015 - Apr 2016

Set up production lines, Import-Export processes, third party logistic partner Set up production lines, Import-Export processes, third party logistic partner

Assistant General Manager

• Aug 2010 - Oct 2013

Product Management, Technical presales and Customer acquisition Product Management, Technical presales and Customer acquisition

Senior Mechanical Engineer

• Apr 2008 - Apr 2010

Product Development and Product Manufacturability Product Development and Product Manufacturability

Senior Development Engineer

• Dec 2000 - Apr 2008

Product Development, Integration of products licensed from a Start-up company, Transfer of production from own facility in Mexico to far east Contract Manufacturer Product Development, Integration of products licensed from a Start-up company, Transfer of production from own facility in Mexico to far east Contract Manufacturer

Research Engineer

• Jul 1998 - Dec 2000

Developed a compact, three stage moisture separator systems Developed a compact, three stage moisture separator systems

Product Engineer

• 1994 - 1997

Led a team to modernize the air compressor plant at customer site Created oxygen compressor plant layout for a steel plant in India Led a team to modernize the air compressor plant at customer site Created oxygen compressor plant layout for a steel plant in India