Data Analyst Scientist

Data Science professional, creative thinker, and analytical person. Able to distill high performant solutions from data to drive business strategy. Versatile, purposeful, and meticulous professional in Data Science and programming. Experience in Machine Learning, Data manipulation, Data Validation, SQL, Predictive modelling, and Data Visualization, Tableau.

Summary:

8 Years of experience in Analysis, Design, Development, Management, and Implementation of various standalone and client - server architecture-based enterprise application software.

Developed Consumer-based custom features and applications using Python and HTML. Experienced with Software Development Life Cycle (SDLC), Database designs, agile methodologies, coding, testing of enterprise applications and IDE's such as Jupyter Notebook.

Experience in understanding various business process, gathering business requirements, implementing business processes, identifying risks, doing impact analysis and UML modeling.

Experienced with Python programming and Python libraries for data science included in the Anaconda distribution including NumPy, Pandas.

Applied machine learning skills and developed K-nearest neighbor (KNN) classifier to recognize the detected vowels.

Prepared presentations and dashboards to document the project progress to the supervisors.

Good Knowledge of Statistics, Algebra.

Responsible for gathering managerial action requests and submitting reports based on those requests.

Hands-on experience on structured & un-structured data.

Created and maintained SQL Scripts to perform back-end testing for data validation & experienced in RDMS.

Experienced in Data Manipulation to adding, removing, altering databases.

Experience with NumPy, Matplotlib, Data Frame and Pandas python libraries.

Data Preparation, Data Manipulation, Feature Engineering, Statistical Modeling, Visualization and Reporting.

Good experience on Tableau which is used for visualizing the data.

Experience in Data Scripting, Extracting.

Strong experience in developing Python programming language.

Provided support to team members whenever necessary.

Strengths in Problem solving and Timely resolution of issues. Self-motivated, diligent, positive work attitude and self-motivated to work independently and as well as in team.

Hardworking and result oriented with customer Focus and ability to persist and explore new ways of finding solutions to problem.

Technical Skills:

Programming Languages

C, Core Java, C++, Python.

Project Management Software

MS Project

Jira

Jupyter Notebook

Software Tools

HP Service Manager, SQL Enterprise Manager, SQL Management Studio, Rational Rose, Word, Excel, JIRA, PowerPoint, Jupyter Notebook

Methodologies

Waterfall, Agile/Scrum

Python Libraries/Packages

NumPy, Data Frames, Pandas, Matplotlib, ML Algorithms (Regression, Clustering, etc).

Experience:

Client: AriZona Beverages, NY Feb 2020 – Present

Role: Data Scientist/Data Analyst

Responsibilities:

Interacting with business users to analyze the business process and requirements and transforming requirements into designing database, documenting, and rolling out the deliverables.

Excellent prototyping skills and expertise programming skills in C and python.

An enthusiastic and project-oriented team player with solid communication and leadership skills and the ability to develop different solutions for challenging client needs.

Worked with large sets of data to find rate flow trends and patterns, identify and fix data anomalies.

Cleansed, extracted, and analyzed business data on daily.

Used SQL to alter, retrieve and manipulate data from an existing data set.

Excellent analytical, inter-personal and communication skills with clear understanding of business process flow.

Created charts, graphs by using MatPlotLib as needed to retrieve the accurate data.

Utilized SK-Learn ML library for programming language.

By using Machine Learning Supervised and Unsupervised Algorithms, predicted, tested and created accurate value of data.

Processing File Handling Techniques by using methods.

Hands-on usage of Tableau which displays results as visualization.

Daily interaction with Project Managers, Business Analysts, Tech Leads, Developers and Business Users regarding data needs.

Client: Calance, LA May 2019 – Feb 2020

Role: Data Scientist/ Data Analyst

Responsibilities:

Handled and maintained Standard Scaler Functionality.

Worked with the Project and Development Team to understand the requirements.

Produced accurate data reports by calculating errors in a dataset by using ML Algorithms.

Interacted with End user community, external vendors to understand the business requirements and in identifying data sources.

Involved in development and maintenance of authentic data in database using Machine Learning.

Identified entities and attributes and developed conceptual, logical and physical models.

Worked for cleansing and organizing various tables in a presentable manner to help with better understanding of already existing models.

Generated various presentable reports using Tableau.

Designed the Data Value using KNN algorithm methodologies.

With the help of SQL querying extracted the appropriate data used for business process.

Worked extensively with understand, developed, cleansed, maintained, and entered metadata for various new as well as existing models.

Generated customized report solutions for various Datasets by using Tableau.

Conducted data reviews and validated data models and was involved in Regression Models.

Designed different type of methodologies using Data Processing for Claims related project.

Worked closely with Data Frames as a part of Pandas.

Involved in handling NAN values of Database.

Prepared Business Process Models that include modeling of all the activities of the business from the conceptual to procedural level.

Client: AT&T, Hyderabad, India Oct 2014 to Jan 2019

Role: Data Scientist/ Data Analyst

Responsibilities:

Developed LCM tool which provides Incident Management and Problem Management service operations to their clients.

Worked on how securely data information is passing without knowing the 3rd party vendor and helped to benefit on how useful is reducing the man hours in a day by using the tool.

Conducted sessions with architects, business and development teams to understand the Life Cycle Management Tracking Tool (LCM's), and effects caused on the system by the tool requests.

Checked for all the modelling standards including naming standards, entity relationships on model and for comments in the model.

Generated comprehensive analytical reports by running SQL queries against current databases to conduct data analysis.

Involved in Data Mapping activities.

Worked on creating incidents and assigning them based on the incident priority.

Reverse Engineering the existing data marts and identified the Data Elements (in the source systems), Dimensions, Facts and Measures required for reports.

Worked as a customer facing analyst interacting with shifts on a daily basis to understand their requirements and proposed solutions.

Imparted knowledge sharing via interactive sessions.

Collaborated with the onsite team.

Education:

Bachelor of Engineering, Computer Science, JNTU, HYD, 80%.

Academic Project:

SHIFT ROSTER MANAGEMENT TOOL

Roster is the tool which provides equal support for day and night shifts for all the employees in a team.

Tool was successfully able to capture more than 25,000 man hours of time.

SRM Tool is exclusively designed to capture day to day Roster change activities that are made in a team.

It has user friendly features, refines reporting, one page Roster tool update, etc.

It was built in such a way that it is beneficiary and how it is useful in reducing the man hours in a day.

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