Data Analyst Power Bi

SUMMARY

Duddala Bala Vignesh

+1-609-***-**** ***********.**@*****.*** https://www.linkedin.com/in/bala-duddala-a03b351b7 Dynamic data professional with 4+ years of experience in data analysis, engineering, and AI/ML. Skilled in building scalable ETL pipelines using PySpark and SQL, transforming and analyzing large datasets across multiple sources. Adept at developing and deploying ML models for clustering, classification, and forecasting using Scikit-learn, TensorFlow, and Python libraries. Proficient in data visualization and reporting with Tableau, Power BI, and Grafana, enabling data-driven decision-making. Strong background in statistical analysis, feature engineering, and automation, with hands-on experience across tools like Git, Jenkins, and cloud platforms including AWS and Azure. Committed to leveraging data to drive insights, optimize operations, and deliver measurable business impact. EDUCATION

New England College, Henniker Dec 2024

Masters in Computer Science

Chaitanya Bharathi Institute of Technology, India Jun 2022 Bachelor of Technology (B.Tech.), Civil Engineering EXPERIENCE

Data Analyst Gulf states Toyota Dec 2024 – Present

• Analyzed sales data from 150+ dealerships using Power BI and Excel, improving vehicle allocation by 12%.

• Built Power BI dashboards, reducing executive reporting time by 40% and enhancing cross-departmental visibility.

• Automated inventory tracking using SQL, saving over 30+ hours/month of manual work.

• Developed a demand forecasting model in Python, increasing forecast accuracy by 18%.

• Cleaned and validated 5M+ row datasets, reducing data discrepancies by 35% through robust data transformation rules.

• Correlated customer feedback with warranty claims, identifying 3 key issues and reducing complaints by 10%. Data Analyst Acqura Infotech Pvt Ltd May 2022 – Jul 2023

• Analyzed 10,000+ records using Python (Pandas, Matplotlib) to identify top 5 products and key trends.

• Created 3 interactive Tableau dashboards to visualize performance by region and product category, enhancing sales insights.

• Delivered data-driven recommendations that increased targeted marketing efficiency by 15%.

• Applied K-Means clustering to segment 5,000+ customers based on purchasing patterns.

• Used Seaborn to visualize 4 distinct segments and suggested 3 personalized marketing strategies.

• Cleaned and analyzed global COVID-19 data from 180+ countries using SQL and Excel.

• Built a dynamic Power BI dashboard tracking infection rates, recoveries, and vaccination progress across 6 metrics.

• Leveraged PySpark for preprocessing 1M+ transaction records, reducing data processing time by 60% over conventional Pandas workflows.

Data Analyst Intern Acqura Infotech Pvt Ltd Dec 2020 – Mar 2021

• Developed and maintained 10+ interactive Tableau dashboards to support data-driven decision-making.

• Designed user-centric interfaces that improved data accessibility for 100+ non-technical team members.

• Enhanced dashboard performance, reducing load times by 30% and enabling real-time updates.

• Built scalable ETL pipelines using PySpark and SQL for efficient integration of data from 5+ sources.

• Leveraged Pandas, NumPy, and Matplotlib to manipulate data and visualize key business metrics.

• Automated 20+ repetitive data processing tasks using Python, improving workflow efficiency by 40%.

• Partnered with 5+ cross-functional teams to gather requirements and deliver customized data solutions.

• Contributed to 7+ strategic projects with detailed data analysis and reporting. Data Engineering Analyst Arka F&B Pvt Ltd May 2020 – Dec 2020

• Streamlined inventory management by integrating POS data with sales forecasts, reducing stockouts by 25%.

• Designed and implemented real-time dashboards to track sales across 15+ retail outlets.

• Led cross-functional workshops to improve demand forecasting accuracy by 20%.

• Automated daily reports using Python scripts and Excel macros, saving 4+ hours/week in manual work.

• Built a centralized vendor evaluation model scoring 20+ suppliers on reliability, price, and quality.

• Used PySpark to process multi-outlet sales and procurement data, reducing weekly report generation time by 50%. SKILLS

• Incident Management & IT Operations: ServiceNow, Jira, BMC Remedy, ITIL, Agile, Scrum, Windows Server (2012–2019), Linux/Unix (RHEL 8, CentOS 8), Microsoft 365 Suite, Active Directory.

• DevOps, Version Control & CI/CD: Git, GitHub, Jenkins, Azure DevOps.

• Data Management & Engineering: SQL, MySQL, PostgreSQL, PySpark, Data Warehousing, ETL pipelines, Data Modeling, Database Administration, Cloud Platforms: AWS, Azure (including data services).

• Data Analysis, Visualization & AI/ML: Python (Pandas, NumPy, Scikit-learn), Shell Scripting, Data Cleaning, Exploratory Data Analysis (EDA), Statistical Analysis, Visualization: Grafana, Kibana, Tableau (if applicable), Basic Machine Learning concepts and frameworks (Scikit-learn, TensorFlow, PyTorch), Generative AI (OpenAI, LangChain, LLMOps basics).

• Monitoring, Observability & Alerting: SLOs, SLIs, SLAs, Monitoring Tools: DataDog, Grafana, Kibana, ELK Stack, Dynatrace, PagerDuty, Splunk, Tidal, Sitescope, Alert creation, refinement, noise reduction.

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