About Me
I am passionate about Data Analysis and exploring the vast world of Data Science. With expertise in data manipulation, visualization, and drawing actionable insights, I strive to make complex data more accessible and valuable. I am constantly exploring new tools and techniques to improve my analytical skills and am eager to delve deeper into the field of Data Science. Open to collaborations and excited to work on projects that push boundaries, drive decisions, and foster innovation.
Profile Summary
- A self-motivated and detail-oriented professional with strong problem-solving and analytical skills, aspiring to build a robust career in the Data Analytics and Data Engineering domain.
- Proficient in Python, SQL, Power BI, and equipped with a solid understanding of statistical concepts to derive meaningful insights and drive data-driven decisions. Skilled in data pre-processing, exploratory data analysis (EDA), and data visualization, with experience in applying these techniques to support machine learning models and business outcomes.
- Have a foundational understanding of ETL processes, data pipelines, and database management systems, with a growing interest in learning and developing hands-on expertise in cloud platforms and big data tools like PySpark, Azure, and AWS.
- An effective individual contributor and team collaborator with a strong focus on delivering actionable insights, streamlining data workflows, and contributing to organizational growth. Open to learning and adapting to new tools and technologies in a dynamic environment.
- Actively seeking an opportunity to leverage my skill set in a challenging role where I can contribute to impactful projects, support business goals, and grow alongside a reputed organization.
Technical Skills
- Languages: Python, Pyspark, SQL, C, Dax
- DA Packages: Pandas, Numpy, Matplotlib, Seaborn, Plotly, Scikit-learn, PySpark, SQLAlchemy
- Big Data Tools: Apache Spark, Apache Hadoop, Apache Hive, Apache Airflow, Apache Nifi, Airbyte, MySQL, Power BI, Tableau
- Data Solution: Data orchestration, Ingestion, DataLake, Data warehouse, Data catalogue, Data quality management, Data governance
Experience
Data Engineering
Analogica Software Devpt Pvt Ltd, Bengaluru
Feb 2024 – Present
- Architected and developed Certisured Reporting and dashboards framework addressing students' enrollment, engagement, and ROI insights.
- Built Predictive Marketing Attribution regression model identifying the digital channel with the highest ROI, which increased ROI effectively by 80%.
Data Analyst
Analogica Software Devpt Pvt Ltd, Bengaluru
Oct 2022 – Jan 2024
- Designed and implemented Ship Refitting Status Dashboards for Naval War College, Developed Real-Time Reporting Solution to Track Ship Refitting Progress and Operational Efficiency.
- Conducted Exploratory Data Analysis (EDA) to extract key insights from defense manufacturing data, enabling machine learning teams to improve feature engineering and model development for optimized production processes.
Certifications
- Full Stack Data Analysis with Power BI, SQL, Excel, Tableau, Python And Statistics at Certisured
- Machine Learning Foundation with Python Libraries at Ineuron
- Data Analytics Bootcamp 3.0 at Codebasics
- Product Design Engineer at KGTTI
- Workshop on Data Visualization With Power BI & Tableau at DSATM
Project Portfolio
Certisured Reporting and Dashboards Framework
A comprehensive reporting and analytics platform designed to automate the collection, transformation, and visualization of student data. The solution pulls data from various sources, processes it through an efficient batch ETL pipeline, and stores it in a well-organized data repository. With a focus on delivering valuable insights, the platform offers institutions real-time dashboards and predictive analytics, helping them track enrollment trends, student engagement, and ROI.
- Architecture design, Data pipeline development, Data integration and transformation, Database management and optimization
- Report and dashboard development, Predictive model creation and analysis, Data validation and preprocessing
- Automation of data refresh and system monitoring, Collaboration with stakeholders for reporting needs, Continuous improvement of reporting framework
Predictive Marketing Attribution Regression Model
A comprehensive marketing analytics solution developed to optimize digital channel investments by identifying the highest-performing channels. The solution uses advanced regression models to analyze marketing data and attribute ROI to specific digital touchpoints.
- Marketing Channel Attribution – Regression analysis to evaluate channel performance
- ROI Prediction – Predictive modeling to forecast ROI and optimize budget allocation
- Performance Insights – Data-driven recommendations for strategic decision-making based on ROI metrics
Ship Refitting Status Dashboard
Designed and implemented a Ship Refitting Status Dashboard for the Naval War College to track the progress of ship refitting projects. The dashboard provides real-time insights into task status, timeline, and resource allocation, improving decision-making and operational efficiency for defense operations.
- Real-time data integration from multiple sources
- Progress tracking and timeline analysis for multiple ship refitting projects
- Key performance indicators (KPIs) for task completion, issues resolved, and resource usage
- Improved project oversight and operational transparency
Exploratory Data Analysis (EDA) for Defense Manufacturing
Conducted Exploratory Data Analysis (EDA) to extract valuable insights from defense manufacturing data. The analysis focused on identifying inefficiencies in production processes and uncovering patterns in equipment usage and worker productivity, providing a foundation for machine learning models aimed at improving operational efficiency.
- Exploration and cleaning of complex defense manufacturing datasets
- Identification of key drivers influencing production efficiency
- Uncovering hidden patterns and trends for informed decision-making
- Provided actionable insights to enhance machine learning feature engineering and predictive modeling