Anusha Anil
Data Scientist
Summary
Tech-savvy and solutions-oriented professional with [X years] of experience in compiling, transforming, and analyzing complex information using software. Proficient in machine learning techniques and skilled in managing large datasets. Demonstrated success in identifying relationships and building solutions to business problems.
Overview
10
10
years of professional experience
Work History
Data Science Coach
Multiverse
10.2022 - 04.2024
- Lead the delivery of the Level 4 Data Fellowship curriculum to ensure apprentices acquire essential data analysis skills.
- Guide and mentor over 80 apprentices through data analytics projects, emphasizing technical proficiency in Python, R, Power BI, SQL, and Excel.
- Apply advanced data analysis techniques including Machine Learning, Predictive Analytics, and Time Series Forecasting to drive impactful project outcomes.
- Developed predictive models for customer churn using Python and ML algorithms, resulting in significant reductions in attrition rates and revenue loss.
- Collaborated with apprentices to implement Power BI dashboards providing actionable insights into sales performance, contributing to a 15% increase in conversion rates for partner companies.
- Conducted workshops and CPD sessions on Time Series Forecasting, equipping apprentices with skills to analyse and predict market trends, leading to a 20% improvement in inventory management efficiency for a retail client.
- Enhanced technical capabilities of fellow coaches through tailored workshops and training sessions focused on Python, SQL and Power BI, elevating overall training effectiveness and fostering a culture of continuous learning.
- Recognised as 'Coach of the Month' twice for exceptional mentorship and driving apprentice satisfaction.
Condition Monitoring Analytics Engineer
Qualitrol
02.2022 - 09.2022
- Implemented ML techniques like linear regression and logistic regression for precise monitoring of high-voltage equipment and accurately detect faults in diagnostic signals, reducing maintenance costs by 10% and repair time by 20%.
- Leveraged time series analysis to uncover temporal trends esulting in a 15% reduction in equipment downtime.
- Integrated random forest algorithms to handle non-linearities and improve predictive accuracy in equipment data.
- Employed ML techniques to improve diagnostic signal analysis, resulting in a 15% sales revenue boost in one quarter, acknowledged by the Vice President
- Evaluated data from multiple sources using SQL to ensure comprehensive reporting, pattern recognition, and informed decision-making.
- Designed dynamic and interactive dashboards using Power BI, integrating predictive analytics models to provide real-time insights into sales trends and facilitate agile decision-making processes
- Created detailed technical reports for clients summarizing high-voltage equipment analysis and proposing potential fault diagnoses, enhancing decision-making through data-driven insights.
Software Engineer
Mantra Labs Private Limited
09.2019 - 07.2020
- Employed techniques such as descriptive analytics, predictive modeling, and prescriptive analytics to evaluate clients' product requirements and guide UI enhancements tailored for iOS platforms.
- Utilized tools such as R, Python (with libraries like NumPy, pandas, and scikit-learn), and SQL to analyze data and extract actionable insights for optimizing interface design.
- Implemented seamless integration between iOS applications and server-side web services using Swift and Objective-C, ensuring efficient data rendering across diverse device ecosystems.
- Led team coordination efforts, including organizing meetings, designing comprehensive test plans, conducting thorough code reviews, and assessing documentation quality to maintain development excellence.
- Developed scalable and automated solutions leveraging advanced algorithms and techniques, contributing to enhanced product functionality and performance on iOS platforms.
- Spearheaded the development of the inaugural iOS application for a prestigious education provider, leveraging data-driven design principles and iOS development best practices.
- Recognized by clients for outstanding service delivery, leading to the acquisition of a second, high-profile project with increased leadership responsibilities.
Business Analyst
Ultra Stones
01.2017 - 05.2019
- Analyzed item descriptions to predict which product features were most relevant to customers, resulting in a 5% increase in conversions.
- Conducted sentiment analysis on product reviews to identify relevant content for users, resulting in a 10% increase in sales.
- Employed the power of predictive analytics to foresee future sales trends, orchestrating strategic moves in inventory management and resource allocation for optimal operational efficiency, resulting in a 20% reduction in excess inventory and a 15% increase in overall operational efficiency.
- Streamlined feature selection for a customer return prediction model, saving approximately 18 hours of manual work each month.
Associate Software Engineer
CCS Technologies Private Limited
07.2014 - 07.2016
- Developed and enhanced multiple iOS applications using core skills in Swift, Objective-C, C++, and SQL, while integrating elements of data science principles such as analysis of user behaviour and performance metrics
- Collaborated with product management, development, and quality assurance teams to ensure continuous app improvement and consistent release schedules, leveraging data-driven insights for decision-making
- Assisted in the analysis and design phases of the app development lifecycle, utilizing data analysis techniques to inform design decisions and improve user experience
- Authored comprehensive technical documentation including System Requirements Specifications (SRS), System Design Specifications (SDS), and White Papers, integrating data science methodologies to support development efforts and technical communication
- Interacted with senior developers to deliver client-delighting solutions informed by data analysis, fostering cross-functional team synergy
- Received a certificate of appreciation for outstanding contributions to a project, demonstrating rapid learning and proactive engagement with data-driven insights
- Recognized for the ability to translate complex technical requirements into actionable development tasks aligned with data-driven insights and client expectations
- Played a key role in mentoring peers through knowledge sharing on data science principles, contributing to improved team competencies and project outcomes.
Education
MSc in Data Analytics -
University of Glasgow
Glasgow, United Kingdom01.2022
B-Tech in Electronics & Communication Engineering -
Cochin University of Science And Technology
Kochi, India05.2014
Skills
Python (Pandas, NumPy, scikit-learn, Matplotlib, statsmodels, keras), R, Swift, Objective-C
SQL (MySQL, Postgres)
Power BI and Tableau
Git
Machine Learning
Descriptive, Predictive and Prescriptive Analytics
Time Series Analysis and Forecasting
Customer Segmentation
Productionizing Models
Technical Report Generation
Timeline
Data Science Coach
Multiverse
10.2022 - 04.2024
Condition Monitoring Analytics Engineer
Qualitrol
02.2022 - 09.2022
Software Engineer
Mantra Labs Private Limited
09.2019 - 07.2020
Business Analyst
Ultra Stones
01.2017 - 05.2019
Associate Software Engineer
CCS Technologies Private Limited
07.2014 - 07.2016
MSc in Data Analytics -
University of Glasgow
B-Tech in Electronics & Communication Engineering -
Cochin University of Science And Technology