Junior Data Scientist Resume CA - Hire IT People

TECHNICAL SKILLS

Tableau, D3.js, Power BI Python, R, Java, JavaScript, SAS
Apache Kafka, MapReduce, Apache Spark, Apache Hive
Apache Spark MLlib SQL, MySQL, PostgreSQL, SQLite, MongoDB, Cassandra
Descriptive, Inferential (Estimation, Hypothesis Testing, t - tests, ANOVA, Correlation, Regression, X A 2)
MS SQL Server, SQL (Oracle 10g), MySQL, Teradata
Google Cloud Platform (Dataprep, SQL, BigQuery, ML Engine, Pub/Sub, Dataproc, Dataflow)
Analytic/ Visualization Tools
Languages
Big Data/ Hadoop
RDBMS/ NoSQL
Statistics
Databases
Cloud Platforms

PROFESSIONAL EXPERIENCE

Confidential, CA

Junior Data Scientist

Responsibilities:

Built machine learning model and made predictions using REST API calls for a SAAS product
Engineered deep and wide learning model using Tensorflow on Google Cloud Platform streaming over 1 TB of data for Dynamic Pricing module of teh SAAS product; reduced teh model error by 20% and training time by 30%
Devised Time Series ARIMA model to implement Demand Forecasting module for teh SAAS product
Fabricated an optimized ETL pipeline on both streaming and batch mode data from existing data warehouse to BigQuery
Designed optimized queries to extract useful data to identify data patterns for deciding an algorithm to improve teh forecast accuracy
Engineered Multivariate LSTM time series model using Keras in Python and measured teh accuracy of this model using RMSE
Compared teh outputs with teh actual demand by developing dashboards using Google Data Studio; found dat LSTM is more accurate

Confidential, CA

Junior Data Scientist

Responsibilities:

Performed large scale processing, built an optimized ETL pipeline for marketing contacts data using Apache Spark; designed optimized queries using HiveQL to understand teh data patterns for deciding an algorithm to enrich marketing contacts data
Devised Locality Sensitive Hashing algorithm to eliminate teh problem of orphan node by clustering teh similar nodes
Provided visibility in teh TEMPeffectiveness of marketing campaigns to senior management by preparing executive dashboards in Tableau
Performed a gap analysis to reconcile reporting data between CISCO'S legacy Oracle BI tool and its new SAP HANA based BI initiatives

Confidential

Business Analyst

Responsibilities:

Fabricated a business process for analyzing and processing audit data and financial data of housing societies; reported to teh manager teh key findings in teh process
Interacted with clients to define KPI's; built dashboards using Tableau for analyzing and summarizing fiscal data related to KPI's
Identified issues and areas for improvement, provided creative alternatives to improve business process efficiency by 30%
Developed a single layer neural network model using pandas, numpy, scikit-learn, statsmodels, back-propagation & gradient descent
Performed dataset cleaning and processing; used L2 regularization and dropout methods to overcome overfitting