About Me

As a skilled individual proficient in Python, C++, Java, and more, I've honed my abilities in data extraction, coding error resolution, and database maintenance during my internship at Datics INC. I have a keen eye for detail, utilizing statistical tools to analyze complex data sets and interpret patterns effectively, aiding in diagnosis and prediction tasks. With experience as a Technical Support Associate at Pioneer Instruments, I've demonstrated expertise in project management, financial report preparation, and adherence to project timelines. During my tenure as a Machine Learning with Python Student Intern at Verzeo, I contributed to enhancing project management and programming skills, delivering comprehensive reports and presentations while monitoring weekly progress. Furthermore, my academic background in Data Science from Kent State University and Computer Science and Engineering from Malla Reddy Engineering College, along with certifications like PL-300 and PL-900, showcase my commitment to continuous learning and professional development.

Skills

Experience

Education

  • Data Governance & Data Tools: Data Warehousing, Database Management, Data Analysis, Data Visualization, Big Data, UI/UX, Data Quality, Data Processing, Security Controls, Root Cause Analysis, Data Modeling, Data Migration, Data Delivery, Data Transformation, Data Mapping, Data Collection, Data Architecture, Microsoft Excel, Alteryx, QlikView, Tableau, Power BI, MySQL, Oracle SQL, PostgreSQL, SQL Server, NoSQL, MapReduce, Hadoop, PySpark
  • Programming Languages:
    Python, C Programming, C++, Java, JavaScript, R Programming, MATLAB, Simulink, Arduino Programming
  • Cloud Technologies:
    Google Cloud Platform (GCP), Amazon Web Services (AWS), Microsoft Azure, IBM Watson
  • Software Development:
    Spring Framework, JDBC, Test-First/Test Driven Development, Agile Methodologies, CI/CD
  • Professional:
    Project Management, Process Improvement, Asset Management, Configuration Management, Scheduling, Prioritization Skills, Database Management, Microsoft Office Suite / MS Office, Problem-Solving
  • Sept 2024 - Present
    BHP Mineral Services
    AI & Data Science Consultant
  • Feb 2024 - May 2024
    KENT STATE UNIVERSITY (certificate)
    University Student Web Developer Part time.
  • May 2019 - Aug 2022
    PIONEER INSTRUMENTS HYDERABAD
    Data Operations Analyst.
  • May 2024
    Master of Science in Data Science
    KENT STATE UNIVERSITY
    GPA 3.74/4.00
    (certificate)
  • Jun 2022
    Bachelor of Technology in Computer Science and Engineering
    MALLA REDDY ENGINEERING COLLEGE HYDERABAD
    GPA 8.34/10.00

Lisences and Certifications

PL-600: Microsoft Certified: Power Platform Solution Architect Expert

I earned a certification in Microsoft Power Platform solution architecture, demonstrating my ability to design and implement end-to-end business solutions with expertise in integration, security, and change management, along with strong skills in Dynamics 365, Microsoft cloud services, and third-party tools, while applying the Power Platform Well-Architected framework to ensure effective and scalable implementations.

Validate Certificate

PL-200: Microsoft Power Platform Functional Consultant

This exam measures your ability to complete the following tasks: configure Microsoft Dataverse; create apps by using Microsoft Power Apps; create and manage logic and process automation; and manage environments.

Validate Certificate

PL-300: Microsoft Power BI Data Analyst

PL-300 is a Microsoft certification focusing on Power BI skills for data analysts, covering data modeling, visualization, and report creation.

Validate Certificate

PL-900: Microsoft Power Platform Fundamentals

PL-900: Microsoft Power Platform Fundamentals introduces foundational concepts for building apps, automating workflows, and analyzing data using Power Platform tools.

Validate Certificate

DP-900: Microsoft Azure Data Fundamentals

DP-900: Microsoft Azure Data Fundamentals covers basic concepts of Azure data services, including storage, processing, and analytics, for foundational understanding.

Validate Certificate

AZ-900: Microsoft Azure Fundamentals

AZ-900: Microsoft Azure Fundamentals is an entry-level certification exam covering basic concepts of Azure cloud services and solutions.

Validate Certificate

MTA: Introduction to Programming Using Python - Certified 2021

MTA: Intro to Programming Using Python - Certified 2021 is a credential validating Python programming proficiency by Microsoft.

Validate Certificate

Google Data Analytics Professional Certificate

The Google Data Analytics Professional Certificate on Coursera teaches practical data analysis skills through hands-on projects and real-world scenarios.

Validate Certificate

Cisco: Introduction to Packet Tracer

Cisco Packet Tracer is a network simulation tool by Cisco, aiding in learning and practicing networking concepts virtually.

Validate Certificate

Cisco: Introduction to Cybersecurity

Cisco's cybersecurity course offers foundational knowledge for understanding threats, vulnerabilities, and basic security principles in a digital environment.

Validate Certificate

My Projects

Water Potability Prediction App

This project predicts whether water is potable (safe for drinking) based on various physicochemical properties. It includes a machine learning pipeline built using XGBoost, calibrated for better probability estimates, and a modern Streamlit web app for user interaction. Click below to read more.

Analysis of Car Sales Data in Tableau

Tableau dashboard report analyzes car sales data, revealing trends in sales and salesperson performance. Click below to read more.

Data Analysis of Walmart Sales

Walmart sales data analysis to optimize sales strategies by employing data wrangling, feature engineering, and exploratory analysis to derive insights, supported by a SQL database for efficient data manipulation and querying.

Analysis of Netflix Movies and TV Shows Dataset

Analyzed Netflix data with Google Sheets, revealing content and regional trends, informing content strategies and enhancing user engagement for Netflix's growth.
See more

Publications

Optimizing Market Making with MDPs

This research investigates the application of the Avellaneda-Stoikov strategy within a high-frequency trading environment, modeled as a Markov Decision Process (MDP). It adapts dynamically to bid-ask pricing to maximize profits while managing inventory risk.

DOI: 10.1109/OTCON65728.2025.11071170 (CLICK HERE)

Design and Implementation of an Automatic Plant Watering Device with 2D Visual Gesture Recognition

This paper presents a smart automation system for plant watering, integrating visual gesture recognition with sensor-based soil moisture control to optimize irrigation.

DOI: 10.1109/OTCON65728.2025.11070726 (CLICK HERE)

Water Potability Prediction App: A Cost-Free, Streamlit-Based Machine Learning System Using Public Environmental Data

This paper introduces an open-source ML pipeline, deployed via Streamlit, to predict water potability from physicochemical data—bridging academic modeling with real-world environmental health applications.

DOI: 10.70528/IJLRP.v6.i6.1650 (CLICK HERE)

Self-Evolving AI Workflows: A Formalized Feedback Model for Autonomous Optimization

This paper proposes a computational framework for autonomous AI workflow optimization. It models workflows as adaptive dependency graphs that restructure based on feedback and evolving goals. Through recursive task delegation, the system continuously self-improves. By formalizing feedback mechanisms, it demonstrates how AI can autonomously refine and govern its learning processes.

DOI: 10.63282/3050-922X.IJERET-V6I3P104 (CLICK HERE)

Enhancing Association Rule Mining with the CGRG Algorithm: A Cluster-Based Approach

This paper proposes the CGRG algorithm, a graph-based rule mining approach that generates compact, high-value association rules, outperforming Apriori in delivering actionable business insights.

DOI: 10.71097/IJSAT.v16.i2.6778 (CLICK HERE)

Hybrid Cloud Analytics For Environmental Data: Integrating EQUIS, SQL Server, Python, And Snowflake For Scalable Compliance Monitoring

The paper outlines a hybrid data analytics framework that integrates on-premises SQL Server data with a cloud-native architecture using Python and Snowflake for scalable environmental analytics and proactive compliance monitoring. It demonstrates improved query performance, faster dashboards, and efficient reporting through automated extraction, transformation, and cloud ingestion of EQuIS data.

DOI: 10.5281/zenodo.17222441 (CLICK HERE)

Value-Based Resource Allocation for Edge Computing: A Market Balancing Approach

This paper proposes a market-based edge computing framework using General Equilibrium theory to optimize allocation of limited computing resources across competing services, ensuring fairness and Pareto efficiency.

Published Paper Link: (CLICK HERE)

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Copyright © Pramath Parashar.