# Kavisha Shroff > Technical Enablement | Customer Success | Strategy Location: San Francisco Bay Area, United States Profile: https://flows.cv/kavisha ## Work Experience ### Founding CS Engineer @ Voxel Jan 2023 – Present | San Francisco Bay Area ### Engineering Support Analyst @ Anaplan Jan 2022 – Jan 2023 | San Francisco Bay Area - Subject matter expert for Supportability of Anaplan's Metadata Platform, responsible for testing new features and reviewing upcoming releases, ensuring the customer experience is not impacted negatively. Supported the transition to a geographically distributed metadata platform (mySQL to Amazon Aurora) -Provided support to multiple large clients (Google, Amazon, Louis Vuitton) with case management through Salesforce, working closely with Engineers, customers, Business Partners, and Account Executives. 150+ cases resolved and 100+ JIRAs filed. -Participated in incident management to analyze customer impact and perform internal testing. -Implemented JIRA-Slack integration alerting for several projects, to automate JIRA alerting. -Mentored interns as well as new hires. ### Junior Engineering Support Analyst @ Anaplan Jan 2021 – Jan 2022 | San Francisco Bay Area -Triage and handle cases passed on from L1/L2 teams to provide high-level support leading to reporting bugs or platform enhancement requests. -Using Splunk to perform detailed log investigations, create service monitoring dashboards, and set up alerting. - Represented the Support team to prospective/existing customers and partners at the Anaplan Live conference in June 2022. ### Software Quality Operations Associate @ Waymo via NTT data Jan 2019 – Jan 2021 | Mountain View, CA -Assuring the quality of evolving Self-Driving Car (SDC) software versions by overseeing simulation test results, filing bugs, and keeping track of the bugs to ensure the operational safety of the SDC fleet on the road using in-house tools and workflows. -600+ bugs filed which translated to significant software improvement. -Creating and maintaining documentation, designing test cases, and validating test results of the newer software versions. Working closely with the engineering team and testing teams to ensure the quality of the testing process. -Analyzing productivity metrics of the team using Google Sheets and implementing actionable changes based on in-depth statistical analyses to boost team-wide productivity. -Training junior team members to teach efficient use of tools to perform different workflows. ### Data Science Career Track @ Springboard Jan 2018 – Jan 2019 Worked on an array of projects ranging from data mining, data wrangling, visualizations and EDA, inferential statistics and various machine learning models. Learnt implementation of various python libraries - pandas, numpy, seaborn, matplotlip, sklearn, statsmodel. • Used Qunandl API to analyze stock ticker for companies on the Frankfurt Stock Exchange (FSE) including highest and lowest opening bids, intra day changes, and trading volumes • Set up an end to end hypothesis test to validate notions surrounding human body temperature. Employed various techniques such as hypothesis testing, confidence intervals, bootstrapping - SciPy, Pandas, Matplotlib, and other Scientific computing packages in Python. • Performed exploratory data analysis to analyze how excess readmission ratio in hospitals correlate to different feature. Delved into rigorous statistics to set up hypothesis tests. • Implemented linear regression models to predict prices in Boston housing dataset. Compared different models based on F-test, t-test, rsquared values. Built residual plots and qq plots to understand the distribution of data. • Tuned parameters for logistic regression using mix of cross validation and grid search to classify males and females based on provided height and weight data. • Performed text analysis using NLP and count vectorization techniques on Rotten Tomatoes movie reviews. Using naive bayes to classify the reviews. • Implemented K-Means clustering to analyze customer segmentation. Used elbow method, silhouette method and gap statistic to find the best K values. Compared different clustering models. ### Post Baccalaureate @ National Heart, Lung, and Blood Institute Jan 2018 – Jan 2018 | Bethesda, Maryland •Working with whole genome sequences of sickle cell patients cohort, to figure out associations between aging and sickle cell. •Performing variant analysis by calculating minor allele frequencies and allelic balance. •Working on Bowulf (NIH processing cluster) and implementing an array of bioinformatic tools including SAMtools and vcftools. •Analyzing and managing large excel spreadsheets using python programming. •Also worked on analyzing whole genome Hiseq sequencing data. First managing the data by merging and trimming. Subsequently running bismark alignment, and performing quality control with fastqc. •Performed methylation analysis on the data using bumphunter and bsseq. Also familiar with analysis on Seqmonk. ### Post Baccalaureate @ National Heart, Lung, and Blood Institute Jan 2018 – Jan 2018 | Bethesda, MD ### Research Trainee @ Towson University Jan 2016 – Jan 2017 • Assisting in protein research lab studying Pseudomonas exotoxin A (PE) along with PE based toxin conjugates and their application for cancer therapeutic use. • Collaborating with Dr. John Weldon (PI of the lab) and other graduate and undergraduate students working in the lab. ### Statistics Peer Tutor @ Towson University Jan 2017 – Jan 2017 | Department of Mathematics • Shortlisted as one of the only 6 students from a statistics class based on academic merit • Tasked with creating course materials on various topics related to statistics and probability • Held weekly tutoring sessions in for a group of 20 students ### Laboratory Assistant in Biology Department @ Towson University Jan 2015 – Jan 2016 | Jess & Mildred Fisher College of Science & Mathematics • Worked in collaboration with the head of the biology lab. • Helped setup lab equipments and standardize protocols. • Helped prepare solutions, and chemicals required for lab tests ### Summer Research Intern @ National Institutes of Health (NIH): Intramural Research Program (IRP) Jan 2017 – Jan 2017 | Baltimore, Maryland Area • Working at the National Institute on Aging in Laboratory of Genetics and Genomics, in collaboration with Laboratory of Behavioral Neurosciences under the mentor ship of Dr. Kevin Becker. • Investigating the underlying molecular effects and mechanisms of Trans-cranial Magnetic Stimulation (TMS) in an in-vitro rat brain model. ## Education ### Bachelor of Science (BS) in Molecular Biology, Biochemistry and Bioinformatics Towson University ### Data Science Career Track in Data Science Springboard ### Biology/Biological Sciences in General Harford Community College ## Contact & Social - LinkedIn: https://linkedin.com/in/kavishashroff - Website: https://github.com/kavishashroff --- Source: https://flows.cv/kavisha JSON Resume: https://flows.cv/kavisha/resume.json Last updated: 2026-04-05