I'm Suraj Malpani

I'm a Data Scientist who can help make sense of your data.

Objective: My motive is to derive actionable insights by analyzing data; insights, which will be impactful in enhancing the businesses. I’m a diligent individual with prior professional experience as a Data Scientist and an Analyst.

Expertise: Data Science, Business Intelligence, Marketing Intelligence, Analytics Consulting

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Education

Business Analytics, M.S.

The University of Texas at Dallas, 2018 - 2019

Masters of Science in Business Analytics with Data Science concentration

Engineering, B.E.

University of Mumbai, 2011 - 2015

Bachelor of Engineering in Electronics and Telecommunication

Clients & Professional Experience

Data Analytics Manager

Nike, Portland, OR

Feb 2020 - Present

  • Engineered and implemented a centralized data reporting system to collect excess inventory data from 80+ factories.
  • Established the solution consisting of data pipelines to collate the monthly reported data, join it with internal cloud databases, and intuitively present it to the stakeholders in Tableau dashboards, analyzing trends and report to directors.
  • Liaising with Product Creation, Material Planning, Manufacturing, Sustainability, and stakeholders to salvage the excess materials stranded in the supply chain, promisingly saving ~$40M/year, and continuously improve the processes.
  • Technologies: SQL, Tableau, Python, Alteryx, Excel, AWS, Snowflake, Teradata, React.js, R Shiny.

    • Data Scientist

    Daimler, Portland, OR

    Jan 2019 - Jul 2019

  • Automated the Data extraction & Statistical algorithmic process, saving up to 90% of work
  • Leveraged machine learning to reduce manual work in assembling custom truck orders
  • Streamlined analyses by developing an R Shiny app that gathers and visualizes the data from a daily updated govt website
  • Predicted warranty claims 78% accurately by analyzing telematics and fault codes data
  • Utilized Python, Spark, pandas, scikit-learn, Alteryx, Tableau, Azure to work with data
  • Read More here
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    Application Development Analyst

    Accenture, Mumbai, IN

    Oct 2015 - May 2017

  • Engineered SQL Queries, ETL data pipelines for acquiring, modeling & transforming the data to create 17 product reports.
  • Devised and implemented a ‘Code Review tool’ in Microsoft Excel using VBA and a UNIX script to automate the process, effectively saving approx. 40 hours/month.
  • Liaised with the client, business analysts, developers, quality assurance and rest of the team during agile sprints to efficiently releasing the product which was forecasted to generate revenue of £10M+ per quarter.
  • Accomplished ad-hoc tasks utilizing Big data and BI tools, Hadoop, Apache Spark, R, Informatica, SQL, Teradata, and Tableau

    • Teaching Assistant

    Jindal School of Management, Dallas, TX

    Aug 2018 - Dec 2018

  • Mentored students, Evaluated the assignments & quizzes.
  • Assisted in curating coursework for ‘Business Analytics with R’, ‘Database Foundations’ & ‘Object-oriented Programming with Python’, each course enrolled by ~60 students.

    • Data Scientist Intern

    Analytics School Online

    May 2018 - Jul 2018

  • Launched two project-based courses, ‘Logistic Regression & Decision Trees using R and Python’ and ‘A/B Testing’.
  • Designed and reviewed quizzes on advanced statistical concepts

    • Intern

    IIT Bombay, Mumbai, IN

    Jan 2014 - Feb 2014

  • Coded 125 Problems in Scilab to increase resources in Scilab

    • My journey so far!

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    I've worked in the Engineering department of Daimler (DTNA) as a Data Scientist to solve the business problems and improve the engineering processes by utilizing data science.

    Previously, I have worked with Accenture as an Analyst. Additionally, I have a Masters' Degree in Business Analytics with focus on Data Science.

    I've developed a strong business acumen and advanced my technical knowledge through my work as an analyst and as a data scientist.

    With a zest to learn, I've established proficiency in SQL, R, Python, Tableau, Spark, Machine Learning, Cloud platforms, Google Analytics and I keep learning something new every day.

    During my Masters' Degree, I successfully completed numerous projects leveraging Business Intelligence and Predictive Analytics techniques to provide solutions and to improve business processes using the power of data.

    With advanced analytics and data science skills at my arsenal, I'm determined to democratizing AI and help organizations achieve their goals.

    Contact Me

    My Portfolio

    H1-B Visa - Shiny App
  • Developed an R Shiny App
  • Interactive visualizations of H1-B visas data
  • Descriptive analytics of industries, cities, employers are best for getting hired
  • Tools: R Shiny, plotly
  • Read on LinkedIn
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  • Project details

    • Retail Data Analysis
  • Provide marketing recommendations by doing Predictive Analytics on scanner/ Point of Sale (POS) data
  • Regression, Customer/Market segmentation, Forecasting
  • Tools: SAS
  • Project details

    • NLP using Spark
  • Text Classification using PySpark
  • Predicting disaster related tweets by performing text classification
  • Tools: PySpark MLlib
  • Project details

    • Twitter Buzz Prediction
  • Machine Learning, Neural Networks
  • Regression, Classification
  • Got hands-on practice on most of the ML algorithms
  • GLM, Ridge, Lasso, SGD, SVM, KNN, Boosting, Bagging, PCA
  • Tools: Python, Jupyter Notebooks, scikit-learn, TensorFlow, Keras
  • Project Code

    • Sports Scheduling Using IBM Cplex
  • Used IBM's decision optimization tool to build games schedule given few constraints
  • Utilized Linear programming(LP), Prescriptive Analytics
  • Tools: IBM Cplex, docplex, Python, Jupyter
  • Project details

    • Texas Level R Competition, Winners 2nd Place
  • Analyzed NYC Crime Data
  • Data consisted of over 5.5 million records
  • Visual analysis of crime patterns in 5 boroughs based on times/ days of the crimes
  • R, ggplot, ggmap
  • Project details

    • Marketing Solutions - Prescriptive Analysis
  • Analyzed transactional data and provided solutions for advancing the business
  • RFM analysis to segment customers
  • Market Basket Analysis (apriori algorithm) for product recommendations
  • Tools: Jupyter, Python, Tableau, IBM Cognos, Watson
  • Project details

    • Copart Data Challenge
  • Selected to present the model to Copart's execs and the Data Science team
  • Predicted auctioned cars' prices using xgboost algorithm
  • Tools: R, xgboost

    • Spotify Songs Clustering for Personalized Recommendations
  • Utilized clustering algorithms k-means, hierarchical clustering, dbscan to cluster songs
  • Tools: R, Clustering
  • Kaggle Kernel
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    Publication - Algorithm for Data Storage in DNA
  • Proposed a biologically compatible algorithm
  • Implemented algorithm on FPGA
  • Tools: FPGA, MATLAB
  • Publication

    • Car Sales Forecasting
  • Analyzed car sales, CO2 emission by make, model in Norway
  • Norway Government aims to have zero emission from cars by 2025, we wanted to forecast if they'd be successful
  • Tools: R, ARIMA modeling, ggplot
  • Project details

    • Titanic Survival Prediction
  • Like many aspiring data scientists, this was one of my first projects
  • Tools: R, Decision Trees, Random Forests
  • Project details

    • Services & Expertise

    Data Science

    Leverage the power of machine learning. Utilize Predictive and Prescriptive Analytics. Grow your business. Expertise: Data Mining, Deep Learning, R, Python, Spark.

    Business Intelligence

    Make better decisions with the appropriate data visualizations as per business problem. Expertise: Tableau, R Shiny, Power BI, Plotly Dash.

    Marketing Intelligence

    Understand your Customers. Give Personalized product and offers recommendation. Customers are valuable. Expertise: Predictive Modeling, Prescriptive Analytics, Web Analytics.

    Analytics Consulting

    How to leverage the data you have or which data to collect! Utilize those data silos. Expertise: SQL, Relational Databases, NoSQL, IBM Cloud.

    Testimonials

    "Suraj has worked on my team for almost a year here at Nike and has done a phenomenal job collaborating across multiple organizations from product designers to manufacturing partners. He is an incredibly skilled data / analytics manager. He also has experience in Tableau offering visualizations of the data collected across our supply chain. Suraj not only has done a great job with his daily responsibilities, he thinks ahead of how to modernize tools so our stakeholders remain engaged. I receive multiple emails on a weekly basis from teammates of how much they enjoy working with Suraj. It truly has been such a great experience having Suraj on our team!"

    — Cristina Beck, Materials Optimization Director, Nike

    "I have had the pleasure of knowing Suraj for a year now, as he works as my consultant for a Fortune 500 company doing amazing work in Data Analytics! In fact, they hired him for a short-term assignment that has now become a long engagement and have had nothing but excellent things to say about his work and professionalism. Suraj is eloquent, personable, and a great communicator. He has outstanding technical expertise and is super sharp. I enjoy working with Suraj and I would recommend him to any company, he is outstanding"

    — Leslie Pomerleau, Sr. Technical Recruiter

    "Suraj was an intern on our Engineering Data Solutions team at Daimler Trucks North America. He fit in well with the team and completed all his Data Science assignments on time and with good quality. Suraj paid attention to the details and asked great clarifying questions. I recommend Suraj and would welcome him on my team again."

    — Andrew Pinelli, CI Manager, Daimler

    "I highly recommend Suraj Malpani as an employee working in the Data Science field. Suraj is a very smart and nice person, which made working with him a pleasure. Suraj worked as Data Science intern for Daimler Trucks North America for six months and his contribution to several groups within DTNA was exceptional.

    Suraj used Python, R, and Alteryx to gather data from many different systems to perform statistical analytics. He helped me develop a statistical means and created a GUI/tool to capture and analyze a highly complex and variable product variation. The tool will be used by both Product Strategy and Product Engineering to better understand existing product variation and aid in creating new product definition for new product projects.

    Suraj's work was highly appreciated by those he worked with here at DTNA and I personally give him my highest recommendation in the field of Data Science"

    — John Paullus, Senior Engineer II, Daimler

    "Suraj has been a great asset to our continuous improvement team. He operates well with his kind and confident nature to complete tasks requested of him on time. His perspective to having balanced technical and soft skills will serve him well wherever his aspiration takes him. I wish him the very best and hopeful will join the Daimler family in the future."

    — Phil Tran, Project Manager, Daimler