Suchithra Ramachandran
Farmington, MI Email: adgtfk@r.postjobfree.com
Linkedin: http://www.linkedin.com/in/suchithra-ramachandran Github: https://www.github.com/Suchiash PROFILE
Data Scientist with expertise in software engineering and building data models to solve business problems. Aiming to use my knowledge of Data Analytics, Statistics and Machine Learning to transform data and help companies to make data-driven business decisions.
EDUCATION
University of Michigan – Dearborn, Michigan, USA Sept 2018 - April 2020 Master of Science - Data Science
Sri Krishna College of Engineering and Technology, Coimbatore, India Jul 2012 - Jun 2016 Bachelor of Engineering - Computer Science
SKILLS
Languages : Python, SQL, R, SOAP API
Databases : MySQL, DynamoDB, ETL pipeline(AWS)
Machine Learning : Regression, Classification, Time Series, Clustering, NLP, Tensorflow
Technologies : Agile, GIT, AWS, Apache Spark(pyspark), Apache Hadoop
Statistical Concepts : A/B testing, Distributions, Anova, Confidence Interval, Hypothesis testing
Data Visualization : Tableau, Alteryx, ggplot, matplotlib, seaborn, plotly WORK EXPERIENCE
Data Analyst Intern Aug 2020 – Present
Paxafe, Ann Arbor, Michigan, USA
Integrated UPS and FedEx API to collect data on shipments for ground and air
Analyzed collected data to find trends/ patterns in routes, distribution centers and shipping distance
Built a dynamic Estimated Time Arrival (ETA) model to recommend route predictions given origin, destination and carrier and measured accuracy of predictions
Environment: Python, S3, Flask
Information Management Intern May 2019 - Aug 2019
Cummins Inc, Columbus, Indiana, USA
Implemented Time Series forecasting using ARIMA model to predict engine demand with an accuracy of 95%.
Created tools, templates and processes to identify, collect and store Metadata using BTPM project methodology.
Curated innovative ideas for implementing Crowdsourcing to leverage its benefits towards faster data access.
Environment: R, Time series, Metadata Management, Project Management Associate Software Developer March 2017 - Oct 2017 Robert Bosch Engineering and Business Solutions, Coimbatore, India
Designed front end UI using SAP web service components to link Bosch parts numbers with vendor/customer part numbers to locate detail description of those.
Built an application using SQL and ABAP to validate customers/ suppliers/ vendors address with an accuracy of 97% to build a database of accurate, clean address that is consumed by Bosch Logistics team.
Interacted with customers and participated in requirements planning, design, coding, testing and worked in agile methodology.
PROJECTS
Wildfire Data Analysis
Developed time series models AR and ARIMA using python and PostgreSQL to analyze wildfire trends and forecast future occurrence with RMSE value of 1237.
Technology: Python, PostgreSQL, Tableau, Time series, Feature Engineering Statistical Data Analysis on Ted Talks
Built machine learning algorithms to analyze factors influencing popularity of ted talk videos.
Technology: Python, Linear regression, Random Forest MINI PROJECTS
Built ETL pipeline for processing batch data files of various formats like Parquet, JSON, CSV into Amazon S3 and applied various transformations and actions.
Build Twitter sentiment analysis using python NLTK package, analyzed tweets with Bag-of-words, stemming, lemmatizing, TFIDF to classify tweets as positive or negative with an accuracy of 92%.
Technology: Apache Spark, Python, NLP