Data Analyst Machine Learning
Resume:
SUMMARY
* ***** *********** **** ******* and * years experienced electrical
energy analyst with proven success in implementing algorithms and predictive models. Highly skilled at supervised, unsupervised data analysis and data visualization. Passionate engineer and thriving analyst with the ability to apply machine learning techniques and object oriented programming language to solve real time problems. Skilled in DBMS, NLP, classification, regression models and bigdata spark. KOSAL
RAM
DATA SCIENTIST / ANALYST
********.***@*****.***
EXPERIENCE
Senior Data Analyst - SARA ELECTRIC SUPPLIES ESTABLISHMENT Abu Dhabi, United Arab Emirates · May 2022 - Jun 2023 Developed predictive analytics tools using Keras and TensorFlow to forecast panel performance under varying operational conditions, improving efficiency.
Designed and maintained databases using SQL and NoSQL technologies, optimizing data storage and retrieval for project management and performance analysis.
Built ETL pipelines to extract, transform, and load data from distributed sources, facilitating real-time reporting and performance monitoring.
Automated fault detection using machine learning models, enhancing the reliability and uptime of VFD and PLC systems. Technologies Used: Python, Pandas, NumPy, Scikit-Learn, TensorFlow, Machine Learning, NLP, SQL, Matplotlib, Seaborn Senior Data Analyst - VERGER DELPORTE UAE LTD
Dubai, United Arab Emirates · Dec 2020 - Apr 2022
Implemented TensorFlow based classification models to analyze equipment health data, reducing failure rates.
Designed and deployed relational database schemas, enabling structured storage and querying of technical and operational data. Developed and maintained data pipelines to process field data, ensuring seamless data integration with visualization tools such as Tableau and Power BI.
Designed scalable machine learning models in Databricks to optimize project cost estimation, reducing budget overruns. Utilized PySpark systems for big data processing, supporting large- scale retrofitting projects and operational analytics. Technologies Used: Python, CNN, TensorFlow, Keras, PyTorch, Machine Learning, Deep Learning, SQL.
Data Analyst - AIKAH ESTABLISHMENT
WEBSITES AND SOCIAL LINKS
LinkedIn:
www.linkedin.com/in/kosal-ram-
a6459b79
EDUCATION
FLORIDA ATLANTIC UNIVERSITY
FLORIDA · 2023 - 2024
Master of Science: DATA SCIENCE
AND ANALYTICS
ANNA UNIVERSITY
INDIA · 2007 - 2011
Bachelor of Science: ELECTRICAL AND
ELECTRONICS
SKILLS
Statistical Model, Machine Learning,
Deep Learning
Python, Pandas, NumPy, Scikit-Learn,
Matplotlib
TensorFlow, Keras, PyTorch, CNN,
NLP, GenAI
RNN, LSTM, Computer vision,
Information retrieval
SQL, MySQL, Tableau, Power BI
Dubai, United Arab Emirates · Dec 2014 - Sep 2020
Applied software tools to historical data, enhancing the reliability of low-voltage systems and reducing downtime.
Designed dashboards using Tableau, providing data-driven insights for project stakeholders.
Enhanced data reporting capabilities by integrating SQL with visualization tools to generate actionable insights. Built ETL pipelines to preprocess and analyze operational data, streamlining retrofitting processes.
Collaborated with design and operations teams to ensure compliance with international electrical standards.
ENERGY ANALYST - ENERCON INDIA LTD (WIND WORLD INDIA LTD) Mumbai, India · Apr 2011 - Apr 2014
Monitored wind turbine generator performance by integrating operational data into SQL-based systems, ensuring real-time tracking and analysis.
Created and maintained reports using MS Excel, leveraging advanced formulas and pivot tables to summarize power generation trends. Conducted data cleaning and preprocessing for fault analysis, utilizing software tools to ensure high data quality for decision-making. Supported preventive maintenance schedules by analyzing historical data stored in Access databases, reducing system downtime. Worked with IT teams to implement data logging systems, enabling better tracking of operational parameters and fault histories. Contributed to the design and maintenance of custom software solutions for turbine performance analysis, modeling and data handling.
Apache PySpark, Databricks, Kafka,
MLOps, AWS
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