Data Scientist Science

SR. ANU DATA ANALYST JOSHI / DATA SCIENTIST

C O N T A C T

240-***-****

ad5ueg@r.postjobfree.com

Oakland, CA Linkedin.com/anujoshi

E D U C A T I O N

ADSC: Applied Data Science

Certificate, MIT, Applied Data

Science Program, Dec 2023

GISP: Geographic IS Certificate in

Environmental Analysis, SF State

University, Jun 2021

B.S. in Geography (Environmental

Science) Salisbury University, 2016

T E C H S K I L L S

• Python ArcGIS Pro, ArcPy,

ERDAS

• OceanData View

• LIDAR, Radar, Multispectral

Imagery, Exploratory Data

Analysis & Interpertation

• Google Collab, ASW, Azure

S T A T I S T I C S S K I L L S

• Bar Charts, Scatterplots &

Heatmap

• Regression, Random Forest &

Decision Trees

• Supervised Classification

• Statistical / Bivariate Analysis

• P-values, R squared values,

RMSE, ARMA, ML, ANOVA, Z

Test, Bayesian Statistics

M I T D A T A P R O J E C T S

• Developed statistical Order-to-

Close & Ads recommendations

• Predicted housing prices by ML

Regression models

• Projected growth trends for

Indian retail market

P R O F I L E

Certified Applied Data Scientist from MIT, Leveraging AI for Effective Decision-Making. 7+ years in data analysis (database, survey & field samples). 5+ years in GIS analytics for Apple Maps, USGS, Moss Landing. ETL experience with databases, Python, SQL

P R O F E S S I O N A L E X P E R I E N C E

RMSI, Santa Clara, CA – GIS Tech 2020 - Present

Ensure accurate guidance in Apple Maps Europe for 500M global users.

• Use proprietary GIS software to analyze, validate and enhance data content and assemble new content for consumer applications.

• Perform clustering, classification, data cleaning / preprocessing, data imputation & data transformation. Built decision trees.

• Recommend UX edits to user navigability nationally and domesticly. UNITED STATES GEOLOGICAL SURVEY (USGS), Fremont CA Research Intern. Oct 2019 – Mar 2020

Tested hypothesis to grow food availability for Dept. of Fish & Wildlife.

• Gathered 2 seasons of field samples in SF Bay, Suisun Marsh.

• Collected & processed 30 samples (core & neuston sweep) per season. Prepared stable isotope samples.

• Analyzed 200+ records (Excel) for bioenergetics, food availability, macro invertebrate community structure.

• Created 4 tables for data presentation to stakeholders. Visualized food availability, salinity, oxygen patterns w/GIS. Used Bayesian statistics. MOSS LANDING MARINE LABS, Moss Landing, CA May 2018- May 2019 Research Assistant (Nutrient Lab)

Determined top nutrient loading sites in Elkhorn Slough for CA Sea Grant research project. Ran statistics (matplotlib) on sample batches.

• Created ArcGIS Map identifying top 7 potential field sites.

• Detected anomaly of high upstream nutrient loading with time series analysis (ARMA) (Lachat QuikChem® 8500 Series 2 FIA System.

• Restored time consistency across 90-days of water quality samples. SIERRA CLUB, D.C., Intern, Dirty Fuels Policy Oct 2016 – Apr 2017

• Scraped data from BLM. Extracted stats from BOME website.

• Lead lobbyist used Report data to advocate to Congress.

• Conducted K-nearest neighbor

SALISBURY UNIVERSITY, MD, UG Researcher Jan 2016 – May 2016

• Conducted statistical data analysis of 27+K data records in 75 days.

• Built 4 python data table visualizations. Presented poster at AAG.

• Conducted an ANOV test.

Projects

Developed statistical Order-to-Close & Ads recommendations Boston, MA.

• Online Food ordering application around Boston using EDA. Predicted housing prices by ML regression models in Boston, MA. We can conclude that distance for the city does not increase home price and that older home are more likely to have nitroc in them. Use variance inflation factor (VIF), RMES, regression model.

Projected growth trends for Indian used cars.

• Created regression models, decisions tress, random forest andused RMES to build the best model. We can tell that the used car markert is growing in india as the middle class increases.

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