Hardik Singh

Data Scientist

Pune, Maharashtra, India3 yrs 10 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Awarded Bravo Award for process optimization.
Reduced manual effort by 40% through automation.
Created Power BI dashboards speeding up decisions by 25%.

Stackforce AI infers this person is a Data Analyst with a strong focus on AI and automation in the SaaS industry.

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Skills

Core Skills

Data AnalyticsBusiness Intelligence (bi)Ai/ml Model Building

Other Skills

SQLPythonPower BIAzure Data FactoryPandasNumPyScikit-learnTensorFlowOpenAI APIStreamlitExcelDocumentationPL/SQLAgile MethodologiesPrompt Engineering

About

An award-winning Data Analyst with a passion for moving beyond simple reporting to build smarter, more efficient data ecosystems. For me, the real power of data lies not just in the insights it reveals, but in the processes it can transform. This belief in automation drove me to re-engineer reporting workflows at Tech Mahindra using Python, a project that cut manual effort by 40% and earned me a "Bravo Award" for process optimization. I thrive on creating tools that empower teams, whether it's a Power BI dashboard that speeds up leadership decisions by 25% or an Azure Data Factory pipeline that ensures data integrity during large-scale migrations. Beyond my professional role, I'm constantly exploring the intersection of data and AI, building my own LLM-powered agents and forecasting models (feel free to check them out on my GitHub!). I am driven by a curiosity to not just answer business questions, but to build the systems that can answer them faster and more effectively. I'm always open to connecting with fellow data professionals and discussing new challenges in the analytics and AI space. ► Core Competencies: | Data Analytics & Visualization | ETL Processing & Data Migration | Business Intelligence (BI) | Process Automation | AI/ML Model Building | ► Tech Stack: | Languages: Python, SQL | BI & Visualization: Power BI, Tableau, Matplotlib | Data Tools: Azure Data Factory, SSMS, Pandas, NumPy | Cloud & Other: Microsoft Azure (AZ-900 Certified), Git

Experience

3 yrs 10 mos

Total Experience

1 yr 11 mos

Average Tenure

2 yrs 8 mos

Current Experience

Personal project (on github)

2 roles

AI Market Forecast Agent

Jul 2025 – Jul 2025 · 0 mo · Pune, Maharashtra, India

Engineered a predictive analytics model to forecast market demand and key business metrics. This project demonstrates a strong command of machine learning principles and time-series analysis.
Implemented time-series analysis models using Scikit-learn and TensorFlow to predict future trends based on historical data.
Developed a robust data processing pipeline with Pandas for cleaning and preparing data for the ML model.
The model serves as a proof-of-concept for data-driven strategic planning and resource allocation.
► View on GitHub: github.com/HardikSingh11/AI-Demand-Forecast-Agent

Scikit-learnTensorFlowPandasAI/ML Model Building

AI Data Analyst Agent

May 2025 – Jun 2025 · 1 mo · Pune, Maharashtra, India

Developed a fully functional AI agent designed to automate the data analysis workflow. The tool translates natural language prompts directly into executable SQL queries, dramatically accelerating the data retrieval and analysis process.
Enabled natural language to SQL conversion, reducing query development time by an estimated 60% for common analytical tasks.
Built using Python, the OpenAI API, and Streamlit to create an interactive and user-friendly web interface.
The project showcases advanced skills in LLM integration, API development, and prompt engineering.
► View on GitHub: github.com/HardikSingh11/AI-Data-Analyst-Agent-

PythonOpenAI APIStreamlitAI/ML Model Building

Tech mahindra

Senior Data Analyst

Sep 2023 – Present · 2 yrs 8 mos · Pune, Maharashtra, India · On-site

Analysed large-scale customer and transaction datasets using SQL and Python, uncovering trends and performance drivers that supported multiple business and operations initiatives across telecom systems.
Partnered with product, operations, and leadership teams to translate analytical findings into actionable insights, enabling faster decision-making and more efficient operational workflows.
Designed and maintained Power BI dashboards to monitor key business metrics, trends, and exceptions, supporting leadership reviews and recurring performance discussions.
Built and supported data pipelines using Azure Data Factory, ensuring reliable ingestion, transformation, and validation of high-volume data from multiple enterprise systems.
Developed Python-based automation (Pandas, NumPy, PyMySQL) to streamline data preparation, reconciliation, and reporting processes, significantly reducing manual effort and improving consistency.
Implemented data quality checks, validation logic, and reconciliation frameworks to ensure accuracy, completeness, and reliability of analytical outputs across reporting cycles.
Played a key role in OSS/BSS billing and system migration initiatives, supporting data validation, issue resolution, and post-migration reporting to ensure continuity and data integrity.
Created executive-level reports and dashboards to track migration progress, operational health, and risk indicators, presenting insights to senior stakeholders.
Collaborated closely with cross-functional teams including engineering, operations, and business stakeholders to deliver analytics initiatives on schedule with minimal escalations.
Supported knowledge transfer, documentation, and analyst enablement, contributing reusable SQL logic, reporting templates, and best practices adopted across teams.
Key Technologies: Python (Pandas, NumPy), SQL, Power

SQLPythonPower BIAzure Data FactoryPandasNumPy+2

Axium digital

Associate Business Data Analyst

Jul 2022 – Sep 2023 · 1 yr 2 mos · Pune, Maharashtra, India · Remote

Supported senior Business Analysts on a healthcare manufacturing analytics project focused on pharma lyophilisation processes,contributing to data preparation, validation, and exploratory analysis.
Analyzed batch-level production, quality, and process data using Python and Excel to identify trends, deviations, and efficiency indicators under defined analytical frameworks.
Assisted in building structured datasets and basic KPI summaries related to yield, cycle time, and process stability for internal review and reporting.
Prepared analytical inputs and documentation to support requirement discussions between analytics, domain experts, and technical teams.
Gained hands-on exposure to healthcare data standards, process-driven analytics, and real-world data challenges while working under close senior guidance.

PythonExcelData Analytics