KESHAV S. MANTHA

Location: Washington, DC Phone: 571-***-**** Email: adhutx@r.postjobfree.com LinkedIn: keshav-mantha GitHub: kmantha95

SUMMARY

Driven Data Scientist with comprehensive technical portfolio and a breadth of research and analytical experience in academic and translational settings. Expert at relaying complex ideas in simple, digestible ways. Well versed in Python, SQL, and R, specializing in data storytelling and visualization. Seeking a data position that will utilize my strong technical, written, and communication skills with a solid record of productive problem solving, positive interpersonal relationships, and effective leadership.

SKILLS

Programming: Python, R, Git, Ruby, SQL, JavaScript

Databases: Amazon Web Services (AWS), Google Cloud, PostgreSQL, MySQL, NoSQL Databases

Analytics: MatPlotLib, Seaborn, MATLAB, Plotly, Tableau, Hadoop, Spark, Power BI

Software: IBM SPSS, VectorWorks, AutoCAD, ImageJ, Adobe Creative Suite, Microsoft Office Suite, Ableton Live

Machine Learning: Classification, Random Forest, Naïve-Bayes, K-Means Clustering, kNN, Neural Networks, NLP, Keras, Tensorflow

Statistics: Hypothesis Testing, A/B Testing, Linear Regression, Logistic Regression

PROJECTS

Predicting Used Car Prices

Scraped data from Craigslist to establish extensive dataset of 500k+ used cars, analyzing key features like year and odometer

Modeled used-car pricing by feature engineering key metrics that indicate ideal resale value with comparative precision of 90%

Tools: Pandas, NumPy, Seaborn, Datetime, Scikit-Learn, XGBoost, Folium, MatPlotLib

London UK Housing Price Analysis

Financial analysis project using London Housing Authority data to examine real-estate pricing trends in London boroughs

Covered full ETL (extract, transform, load) pipeline to establish pricing comparisons with over 95% accuracy

Tools: Pandas, Numpy, Seaborn, MatPlotLib, Scikit-Learn

EXPERIENCE

Springboard Data Science Fellow Washington, DC Jul 2020 – Present

Fellow in competitive 6-month program featuring 600+ hours of hands-on curriculum with 1:1 industry-expert mentor oversight

Completed 2 personal capstone projects which highlight entire ETL pipeline with strong focus on data wrangling and storytelling

Excelled in 20+ graded projects and assignments featuring machine learning, analytics, and advanced statistics

Mastered skills in Python, SQL, data analysis, data visualization, hypothesis testing, and machine learning

Fairfax Collegiate Lead Instructor, Curriculum Developer Herndon, VA Jun 2016 – Present

Instructed students from elementary level through high school in creative ways to promote extracurricular interest

Developed and taught wide variety of courses across full spectrum of academic disciplines including science, math, and reading

Piloted after-school enrichment program while leading projects as the direct supervisor to junior instructors and assistants

Developed curricula alongside CEO and program heads to optimize student experience and increase enrollment

Children’s Hospital of Philadelphia Medical Scribe (Orthopedics), Researcher Philadelphia, PA Jun 2017 – Jun 2018

Designed and managed over 4000 unique patient charts for hospital administrators

Directly engaged patients daily to assess healthcare updates and present to their care team

Used Tableau for data visualization of sensitive patient information using SQL-query joined tables

Developed machine learning model using Python to predict possible patient cancellations, thus optimizing revenue by yielding 15% reduction in lost billing, amounting to nearly $400,000 per year

Lewis Katz School of Medicine Clinical Research Associate Philadelphia, PA Nov 2016 – Feb 2018

Utilized ELISA, qPCR and histochemistry to study microtome-cut hippocampal samples for role in neurogenesis and addiction

Developed 3D-printed catheter, cutting materials costs by 60%, to cut costs and optimize in-house materials acquisition

Managed and reported clinical trial data involving cocaine addiction in mouse and rat models using SQL and Tableau

Pioneered use of Python and Random Forest Regression to predict animal model behavior in addiction studies based on features

EDUCATION

Liberty University Master of Science in Biomedical Sciences (Biostatistics Concentration) Lynchburg, VA May 2019 (GPA 3.6/4.0)

Temple University (Presidential Scholar) Bachelor of Science in Neuroscience Philadelphia, PA May 2017 (GPA 3.5/4.0)

Thomas Jefferson HS for Sci and Tech Governor’s Diploma (Neuroscience Distinction) Alexandria, VA Jun 2013 (GPA 3.9/4.0)

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