Data Analyst/Scientist, R, SQL, Tableau, Python, Machine Learning

ANISH JONI JESUDHAS

Toronto, Ontario ***********@*****.*** +1-647-***-**** www.linkedin.com/in/anishjoni

PROFESSIONAL SUMMARY

3.5 years of project experience as a Data analyst in collecting, organizing and analyzing massive datasets writing complex SQL queries, performing statistical analysis in R and Python.

Extensive experience in database design and maintenance, as well as analytical reporting using R, Python and SQL

Proficient in implementation of Machine learning algorithms, web analytics and predictive analytics aiding in data driven decisions and creating insightful data visualizations/dashboards in PowerBI/Tableau.

TECHNICAL SKILLS

Analytical Software: R, TidyVerse, Python, Numpy, Scikit-learn, Google analytics, GCP, AWS

Visualization Tools: Tableau, PowerBI, ggplot, Plotly, Kibana

Data Analytics: Predictive analytics, Fraud detection, Recommendation Systems, Churn analysis

Machine Learning Frameworks: TensorFlow, PyTorch

Algorithms: Classification Tree, Regression Tree, K-NN, K-means, SVM, Bayesian Network, Random Forests

Scripting: Python, R, UNIX

Databases & Distributed Computing: T-SQL, MySQL, ElasticSearch, Hive, Spark, Hadoop, UNIX/Linux

EDUCATION

Master of Science in Business Analytics & Information Systems Dec 2016

Muma College of Business, University of South Florida (GPA 3.66/4.0)

Bachelor of Engineering in Computer Science May 2013

Anna University, Chennai, India

Professional Experience

Data Analyst/Data Scientist, Microsoft Mar 2017 – Feb 2018

(Redmond, WA)

Areas: Data visualization, Predictive analytics, Data Munging, R, Kibana, Elastic Search

Partnered with PM, design and User research team to identify user abandonment and improved user retention of Microsoft 3D community by 12% constructing user journey funnels.

Constructed 10+ visualizations and custom dashboards using Google analytics to identify trends and monitor usage patterns among web features to keep leadership team informed.

Formulated advanced scoring system to categorize high value content enabling cost reduction by 20%.

Assisted in improving search click through rates by 15% through robust analysis on search term usage and bounce rate

Instrumented client and service side telemetry to capture user actions from Remix 3D community to create metrics determining success of program level KPIs.

Designed 15+ dashboards and real time monitoring visualizations directly consumed by leadership team to make informed product decisions and stay data informed.

Identified seasonality, trends and anomaly on time series data and setup automated notifications system to identify data leaks/ production bugs reducing response time by 30%.

Research Assistant, University of South Florida Jan 2016 – Dec 2016

(Tampa, FL)

Areas: Data collection, Data Visualization, R, PowerBI, SQL

Devised data collection techniques and captured experimental data from 100 candidates creating central dataset for research study.

Designed 10+ dashboards to visualize patterns, identify trends in bike routes, user stats and data distribution using PowerBI

Extensively used SQL to design, model and manipulate massive datasets containing 5 million records into clean data useful for advanced statistical analysis

Implemented data wrangling techniques using R and conducted deep analysis into granular level data to identify anomaly patterns in bike routes along 7 counties improving safety standards and data driven decisions

Established detailed documentation enabling reproducible research methods and conveyed the findings to stakeholders through data visualizations and concise presentations

Associate Data Analyst, Accenture Nov 2013 - May 2015

(Bengaluru, India)

Areas: PL/SQL, UNIX, Excel, Tableau

Designed and built scalable data models extracting data from disparate sources to meet new business requirements

Extracted and analyzed data for daily/weekly/monthly user reports increasing retention rate by 20% by retargeting

Developed and automated unified Tableau dashboards by integrating data flow details of all interfaces and generating week over week performance numbers (KPI)

Collaborated with onshore business team in weekly status meetings to communicate non-trivial customer trends

Analyzed and solved 500+ production environment issues involving real time data within the Service Level agreement

Conducted deep-dive data analysis to gain insights, diagnose issues and provide analytically driven recommendations to improve customer retention utilizing complex SQL queries

Developed 15+ UNIX scripts to automate data flows reducing processing time for business teams down the line

Database Intern, Webdefy May 2013 – Oct 2013

(Chennai, India)

Areas: SQL, MS Visio, Advanced Excel, Google analytics

Designed the database schema for backend databases and developed extended ERD using MS Visio.

Deployed VLOOKUP, pivot tables and advanced formulas to generate weekly sales reports

Designed and implemented complex SQL procedures and triggers for QA testing and report / data validation

Controlled the web analytics platform using Google analytics and improved audience reach for customers

DATA MINING PROJECTS

A/B Testing analysis on marketing data to identify valuable customers

Key Skills: Statistical Data analysis, R, SQL, Excel Oct 2016

Performed Data wrangling on raw data from leading advertising company and devised it for data analysis through R.

Executed hypothesis tests to compare conversion rates of 700+ retargeted customers with 3500 non-retargeted customers to quantify the efficiency of retargeting.

Performed clustering analysis to distinguish relevant customer groups from non-buyers and illustrated the increase in conversion rates of retargeted customers by 30% to aid in data driven decision making.

Predicting the locations of Airbnb New User bookings (Kaggle) May 2016

Key Skills: Exploratory data analysis, Predictive analytics, R

Refined data quality by removing missing values, outliers and irrelevant attributes and reduced data skewness by 15%

Implemented feature engineering techniques to create intuitive attributes leading to improved results.

Trained huge datasets with Machine learning algorithms and employed XGBoost to improve accuracy and performance in predicting countries booked by first time Airbnb users.

Natural Language Processing on eBooks to interpret sentiments in text Jan 2016

Key Skills: Text Mining, Data Visualization, R

Converted messy text data of 3 volumes of novel into structured data blocks using R scripts

Performed Sentiment analysis to uncover emotional patterns involved in novel using syuzhet package.

Communicated variations in 8 types of emotions through beautiful visualizations along timeline of novel.

LEADERSHIP AND VOLUNTEER EXPERIENCE

Certified Leadership program, University of South Florida Feb 2016

Stampede of Service, University of South Florida Jan 2016

Officer at running club, University of South Florida Oct 2015

Volunteer, Social causes club, Anna University Jan 2013

Contact this candidate