Praveen H.

Product Manager

Hyderabad, Telangana, India6 yrs 1 mo experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in building automated data workflows.
  • Strong proficiency in data visualization tools.
  • Experienced in machine learning and predictive modeling.
Stackforce AI infers this person is a Data Analytics professional with a strong focus on automation and machine learning.

Contact

Skills

Core Skills

Data EngineeringAutomationData AnalysisData VisualizationMachine Learning

Other Skills

AlteryxAnalytical SkillsArtificial Intelligence (AI)BAT scriptingBigQueryBusiness PlanningC (Programming Language)C++CAD/CAMCNC ProgrammingData AnalyticsData ScienceData TransformationDeep LearningEDA

About

Experienced Senior Data Analyst with a proven track record of leveraging data to drive strategic business decisions and enhance operational efficiency. With five years in the field, I excel in translating complex data sets into actionable insights, empowering teams to make informed choices and achieve measurable outcomes. My expertise spans the entire data analysis lifecycle, from data collection and cleansing to analysis and visualization. I am proficient in various analytical tools and programming languages, including Python, R, SQL, Tableau, AWS, Snowflake enabling me to tackle diverse analytical challenges with ease. Throughout my career, I have collaborated closely with cross-functional teams to identify key business metrics, develop KPIs, and implement data-driven solutions that optimize processes and drive growth. Whether it's uncovering trends, forecasting future performance, or building predictive models, I am passionate about harnessing the power of data to solve complex problems and unlock new opportunities. Looking ahead, I am eager to continue driving impact in a dynamic environment where data-driven decision-making is at the forefront. Let's connect to explore how my skills and experience can contribute to your team's success.

Experience

6 yrs 1 mo
Total Experience
1 yr 7 mos
Average Tenure
1 yr 2 mos
Current Experience

Massmutual india

Senior Associate of Data engineering

Apr 2025Present · 1 yr 2 mos · Springfield, Massachusetts, United States · On-site

  • As a Senior Associate in Data Analytics, I specialize in building end-to-end automated workflows by integrating Alteryx with tools like PowerShell, BAT scripting, and Power Automate. My focus is on transforming manual, repetitive processes into scalable, efficient solutions that deliver real-time insights and operational excellence.
  • 🔗 Automation Architecture
  • Centralize automation using Alteryx as the orchestration hub
  • Embed PowerShell and BAT scripts to automate system-level tasks and data operations
  • Trigger Power Automate flows for cross-platform integration (Outlook, Teams, SharePoint, etc.)
  • ⚙️ Data Engineering & Workflow Design
  • Develop low-code data pipelines for cleansing, transformation, and reporting
  • Ensure seamless data movement and process execution across systems
  • Optimize workflows for speed, reliability, and scalability
  • 📊 Business Impact
  • Collaborate with cross-functional teams to identify automation opportunities
  • Deliver actionable insights through automated dashboards and reports
  • Reduce manual effort, improve accuracy, and accelerate decision-making
  • 🚀 Innovation in Action
  • I bring together diverse tools into a unified automation strategy, enabling smarter operations and empowering teams to focus on what matters most—insight, strategy, and growth.
AlteryxPowerShellBAT scriptingPower AutomateData AnalyticsData Engineering+1

Google

Senior Data Analyst

Jul 2024Apr 2025 · 9 mos · Bangalore Urban, Karnataka, India · Hybrid

  • I am a results-driven Senior Data Analyst worked with GChip team , where I specialize in building data-driven ecosystems that empower engineering and leadership teams to make impactful decisions.
  • With strong expertise in tools like PLX Workflow, Looker Studio, BigQuery, Buganizer, GCB (Google Cloud Build), and Gmail APIs, I have built scalable data pipelines, dashboards, and automation solutions that directly support silicon development and chip lifecycle operations.
  • In my role, I’ve:
  • Automated PLX Workflows to reduce manual reporting and improve visibility across hardware design stages. These workflows are tailored to track OKRs, milestone completion, and data handoff across teams.
  • Designed Looker Studio dashboards, including a real-time RTL (Register Transfer Level) dashboard, which delivers key chip development KPIs, enabling faster engineering reviews and better decision-making.
  • Written high-performance SQL queries in BigQuery to power complex reporting and real-time data analysis, ensuring accuracy, scalability, and cost-efficiency by leveraging partitioning and clustering.
  • Improved bug tracking and triaging by developing structured reporting systems in Buganizer, helping reduce recurring issues and aligning engineering focus toward preventive action.
  • Integrated GCB metrics into dashboards for CI/CD performance monitoring. These insights have helped teams identify build-time bottlenecks and improve pipeline efficiency.
  • Built Gmail-based alerting systems that automatically notify stakeholders about workflow status, anomalies, and action-required events—improving communication flow and reducing resolution time.
  • I bring a strong balance of technical depth and business understanding, enabling me to serve as a critical bridge between engineering, data, and product stakeholders.
PLX WorkflowLooker StudioBigQuerySQLGCBGmail APIs+2

Schneider electric

Senior Data Analyst

Aug 2021Jun 2024 · 2 yrs 10 mos · Bangalore · Remote

  • Utilized SQL to extract, transform, and manipulate large datasets from
  • diverse sources, enabling comprehensive analysis and reporting.
  • Developed complex data visualizations and interactive dashboards using
  • Tableau and Power BI, providing actionable insights to stakeholders and
  • driving informed decision-making.
  • Applied Python programming skills to perform data wrangling, statistical
  • analysis, and predictive modeling, resulting in optimized business
  • processes and improved forecasting accuracy.
  • Implemented machine learning algorithms, including regression,
  • classification, and clustering techniques, to uncover patterns and trends in
  • data, driving strategic initiatives and enhancing operational efficiency.
  • Leveraged MongoDB for data storage and retrieval in projects requiring
  • flexible schema and scalability, ensuring efficient handling of semistructured and unstructured data.
  • Collaborated cross-functionally with teams including marketing, finance,
  • and operations to understand business requirements and translate them
  • into data-driven solutions, contributing to organizational growth and
  • success
SQLTableauPower BIPythonMachine LearningMongoDB+1

Innodatatics * innovation | data | analytics

Data Science Intern

Jan 2021Aug 2021 · 7 mos · Bengaluru, Karnataka, India · On-site

  • #Contributed to data collection, cleaning, and preprocessing tasks to ensure the quality and reliability of datasets used for analysis.
  • #Utilized Python and R programming languages to perform exploratory data analysis (EDA) and extract meaningful insights from large datasets.
  • #Assisted in the development and implementation of machine learning algorithms for predictive modeling tasks, leveraging techniques such as regression, classification, and clustering.
  • #Collaborated with senior data scientists to refine model performance through hyperparameter tuning and optimization techniques.
  • #Created interactive visualizations using Tableau and PowerBI to communicate findings and trends to stakeholders effectively.
  • #Conducted ad-hoc analyses and generated actionable recommendations to support business decision-making processes.
  • #Demonstrated proficiency in SQL for data extraction, transformation, and loading (ETL) tasks.
  • #Actively participated in team meetings, contributing ideas and insights to ongoing projects and discussions.
PythonRSQLTableauPower BI

Core energy systems limited

Graduate Engineer /Data Analyst

Jul 2019Nov 2020 · 1 yr 4 mos · Mumbai, Maharashtra, India · On-site

  • I worked on real-world data projects to help teams make smarter decisions. My role focused on analyzing data, building models, and automating workflows.
  • Used Python and SQL for data cleaning, analysis, and automation
  • Built machine learning models for prediction and classification
  • Created dashboards using Tableau and Seaborn to visualize insights
  • Applied NLP techniques for sentiment analysis and text mining
  • Automated reporting tasks to improve speed and accuracy
  • Collaborated with cross-functional teams to solve business problems
  • Gained hands-on experience with Jupyter Notebooks, Git, and cloud platforms
  • Learned best practices in data ethics, reproducibility, and communication
  • Participated in team meetings, sprint reviews, and presented findings
  • Explored time-series forecasting and clustering techniques for deeper insights
  • Documented workflows and maintained version control for reproducibility
  • Focused on turning data into clear, actionable recommendations
  • This internship gave me a strong foundation in data science and sparked my passion for solving real-world problems through data.
PythonSQLTableauNLP

Education

Visvesvaraya Technological University

Bachelor of Engineering - BE — Mechanical Engineering

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