SHYAM KUMAR CHEERLA
LEICHESTER,UNITED KINGDOM
Summary
A motivated and results-driven Analyst with a proven track record in data analytics and process mapping. Proven ability to identify business needs and develop valuable solutions to drive accuracy and process efficiency. Driving business effectiveness through recommendations based on data findings.
Overview
4
4
years of post-secondary education
1
1
year of professional experience
Education
MASTER OF SCIENCE - Data Analysis
DE MONTFORT UNIVERSITY
Leicester 09.2023 -
BACHELOR OF TECHNOLOGY - ECE
JNTUH-HYDERABAD
HYDERABAD,TELANGANA 06.2018 - 11.2022
Skills
- Programming & Tools: Python, SQL, Excel
- Data Visualization: Tableau, Matplotlib, Seaborn
- Machine Learning: Scikit-Learn, TensorFlow, Keras
- Data Management: Data Cleaning, Data Transformation, ETL Processes
- Statistical Analysis: Regression, Hypothesis Testing, Clustering
- Communication: Report Writing, Presentation Skills, Stakeholder Engagement
Timeline
MASTER OF SCIENCE - Data Analysis
DE MONTFORT UNIVERSITY
09.2023 -
DATA ANALYST
JSRIVARI PRIVATE LIMITED, HYDERABAD, INDIA
12.2022 - 08.2023
BACHELOR OF TECHNOLOGY - ECE
JNTUH-HYDERABAD
06.2018 - 11.2022
Work History
DATA ANALYST
JSRIVARI PRIVATE LIMITED, HYDERABAD, INDIA
HYDERABAD, INDIA
12.2022 - 08.2023
- Generated reports from extracted data for analyses.
- Analysed large datasets, drawing meaningful conclusions and providing actionable recommendations.
- Improved data integrity with rigorous auditing and cleansing.
- Verified and input data from external sources, confirming accuracy before integration.
- Advised on data collection and statistical methods to verify reliability of findings.
- Built, reviewed and maintained data models to meet business requirements.
- Supervised mathematical, actuarial and statistical clerks.
- Tested AI and ML solutions to recognise increased automation possibilities.
PROJECTS
Predictive Maintenance using Machine Learning
- Developed a machine learning model to predict equipment failures in a manufacturing plant.
- Technologies: Python, Scikit-Learn, Pandas, NumPy
- Result: Reduced downtime by 30% and saved £200,000 annually.
Image Classification with Convolutional Neural Networks
- Built and deployed a CNN model to classify medical images with 98% accuracy.
- Technologies: TensorFlow, Keras, OpenCV
- Result: Improved diagnosis speed and accuracy for radiologists.
Real-time Sentiment Analysis
- Implemented a real-time sentiment analysis tool for social media monitoring.
- Technologies: Python, NLTK, Flask, Docker
- Result: Enabled the marketing team to respond promptly to customer feedback, improving customer satisfaction.
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