Hetal Pambhar

**** ***** **** *****, ******, Texas 75063 adjwy6@r.postjobfree.com Cell phone: 469-***-****

LinkedIn: www.linkedin.com/in/hetal-997725

Professional Summary

Helping companies translate their business goals to reality

Data Scientist with 2 years of academic experiences in gathering, cleaning and organizing data for use by technical and non-technical personnel.

Advanced understanding of statistical, machine learning models and other analytical techniques.

Proficient in Excel, Python, R, SQL, A/B testing, Google Analytic, Jira and Visualization tools like Tableau and Power BI.

In-depth knowledge of analytical, ML and NLP and robust understanding of statistical tool. Motivated and passionate to learn new technical and personal skills.

Good Collaborated with excellent interpersonal communication, orchestrated, mentoring and multi-tasking, presentation skills, a strong rapport with associates at all. Considered as a well-organized employee with “can-do” attitude. Self-motivated and strong learning ability

Ability to thrive in a fast-paced work environment

SUMMMARY OF SKILLS

Analysis Tools: MS Excel, R Studio, Tableau, SQL Server

Programming: Python, R, SQL, Big Data

Analysis Techniques: Text Mining, Supervised and Unsupervised algorithms (Linear, Logistic, SVM, Decision Tree, Random Forest, K-means, KNN, PCA, NLP), classification, regression, NumPy, Pandas, TensorFlow, Keras, Scikit-Learn, Matplotlib

Academic Project

Data Scientist Jun. 2019 – Oct. 2019

Course: Predictive Analysis using R, Hadoop and Tableau - Dallas-TX (UNT)

Used various sources to manipulate raw dataset such as Pyspark and SQL Server, created visualization to explore the potential features

Produced statistical models (logistic regression/ gradient boosting decision tree) in DSP to predict the Click-Through-Rate of ads use TensorFlow

Wind Energy Demand Forecast: Identified the future demand patterns of wind energy in Texas within next 5 years by using Regression Models and ARIMA forecast model from the past ERCOT 10 years of total energy consumption data and 3 years of wind hourly load data. Run model on R and Python

Data Analyst Jan. 2019- May 2019

Course: Python-Machine Learning for Data Science– Dallas- TX (UNT)

Credit Risk Prediction: Lending Tree customer dataset was for building ML model for predicting interest rates of loans based on customer’s profiles. Different ML models (linear, logistic and KNN) were used to create best prediction model.

Data Scientist June 2018 – Dec. 2018

Course: Big Data Predictive Analysis: Dallas- TX (UNT)

Big Data Projects: Used Linear Regression algorithm to predict the age of the Abalone in Abalone dataset.

Built and trained a machine learning model using Logistic Regression algorithm on the Iris dataset with Python library Scikit-learn to predict type of Iris flower

Developed Decision Tree model to predict the median value of owner-occupied homes in 1000 Dollars in Boston

Housing dataset• Built K-Nearest Neighbors classification models to classify adults in Adult Salary dataset.

Performed K-Means Cluster Analysis in Car Evaluation data to predict the value of the car belongs to which cluster.

Managed marketing campaign data and preprocessed marketing exploration data through cleaning, integration, transformation, and reduction using Python

Data Scientist Jan. 2018 – May. 2018

Course: Data Analytics I and II: Dallas- TX (UNT)

Gamer’s Factor (Cluster) Analysis: Insights were obtained about customer’s behavior questions regarding play video games.

Used Hierarchical clustering method to determine numbers of segments and K-means clustering method to refine the clusters, then evaluated solution with ANOVA TEST/SPSS.

This analysis is used to classify the gamers based on their demographic and gaming attitude for new data.

Compared bond documents by using VLOOKUP and pivot table in large spreadsheet

Work History

Data Scientist: Innovation Platform (Harrison, Walker and Harper), McKinney, TX, USA Dec19 – Mar20

Used predictive analytics such as machine learning and data mining techniques to forecast company sales of new products with a 95% accuracy rate.

Fulfilled all data science duties for a high-end Consulting firm. Creating dashboard on Tableau and Power BI.

Performed time series and predictive analysis on python.

Assistant Manager/Predictive Analyst: Daynight Donuts, Salem, OR, USA Dec2013- Dec.2016

Performed cash management by managing the record of cash register on daily and monthly basis

Maintain stock and inventory of all the items and Filed invoices & maintain documentation of the organization. Performed predictive analysis of sales during each season based on past data.

Provided financial services for internal and external customers

Tutor: Kalindi International School, Jamnagar, India June 2011 – August 2013

Created study plans for all classes taught, including Mathematics and English and Conducted exams and assess grades of the students as well as consulting in Computer based activities

Cooperated with the listing team to promote new projects with staff

Training Project Coordinator: Kinjal Beverages, Shapar, Rajkot, Gujarat, India Apr2009- May2010

Supported to the Product Development Team in project work by developing new beverage products.

Assisted in batching, analytical testing, flavor screening, QC / QA equipment calibration, keeping lab materials stocked, and helping maintain a clean and orderly laboratory.

Learned formulation and process basics across a wide variety of beverage matrices including juices & protein drinks.

Analyzed customer data to solve frequent occurring issues and incidents reported in Citrix. Proposed solutions helped to improve customer satisfaction rate by 20%.

Project Lead and Trainee: IFFCO Private Limited, Kandla, India Jun2007- May 2008

Performed Cost Analysis to helping in improve working capital and ensure continued supplies of goods and services.

Accomplished some interesting predictive analysis by using time-series analysis of products raw material demand.

Trained a team of four employees on application functionality of 150 applications, technical know-how and resolution techniques in production support projects, refining the resolution rates of the team by 60%.

Education

Master of Science: Business Intelligence and Analytics (Data Science Concentration), 08/2019

University of North Texas – Dallas, TX

Diploma in Management and Technology: Management and Technology, 02/ 2013

Indira Gandhi National Open University – Delhi, India

Bachelor of Business Administration: Management, Minor in Statistic, 06/2010

Saurashtra University – Rajkot, Gujarat - India

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