Madhumita Chakraborty
Toronto,Ontario
Summary
Passionate Mathematical Science Teacher empowering classrooms with insightful teaching methods to instill actionable knowledge through practical application. Proponent of goal-oriented curriculums focused on project-based learning and results-driven examinations. Adept at using diverse multimedia strategies to accommodate different learning styles and improve information retention. Detail-oriented team player with strong organizational skills. Ability to handle multiple projects simultaneously with a high degree of accuracy. To seek and maintain full-time position that offers professional challenges utilizing interpersonal skills, excellent time management and problem-solving skills.
Overview
10
10
years of professional experience
Work History
Data Analyst
Independent Contractor
12.2022 - Current
- Produced monthly reports using advanced Excel spreadsheet functions
- Created various Excel documents to assist with pulling metrics data and presenting information to stakeholders for concise explanations of best placement for needed resources
- Identified, analyzed and interpreted trends or patterns in complex data sets
- Analyzed transactions to build logical business intelligence model for real-time reporting needs
- Developed required policies and procedures that reflected actual goals, tasks and workflows, while meeting all regulatory compliance requirements
- Tested data prediction algorithms based on historical data
- Utilized data visualization tools (Power BI) to effectively communicate business insights
- Used statistical methods to analyze data and generate useful business reports
- Developed data mining algorithms to identify and classify patterns in data
- Analyzed data to identify root causes of problems and recommend corrective actions
- Created data models to support decision-making processes.
Research & Strategy Analyst
Enterr 10 Television
01.2022 - 11.2022
- Involved in implementation and designing of the compression/continuing compression strategy
- Using Utilized Python programming language to collect, clean, and preprocess large datasets from diverse sources including website analytics, social media platforms, and customer databases
- Conducted exploratory data analysis (EDA) to identify trends, patterns, and actionable insights, contributing to strategic decision-making processes
- Developed and implemented data visualization techniques using libraries such as Matplotlib and Seaborn to effectively communicate findings to stakeholders
- Analyzed audience behavior and engagement metrics to optimize content strategies and improve user experience, resulting in a 20 % increase in website traffic
- Collaborated with cross-functional teams to design and execute A/B tests for content variations, driving improvements in click-through rates (CTR) and conversion rates
- Leveraged predictive modeling techniques to forecast audience growth, advertising revenue, and other key performance indicators (KPIs), improving forecasting accuracy by 20%
- Monitored advertising campaigns' performance metrics and provided insights to optimize ad placements, targeting strategies, and pricing models, leading to a 20 % increase in advertising revenue
- Ensured data integrity and compliance with relevant regulations (e.g., GDPR, CCPA) through implementation of data governance policies and procedures
- Presented findings and recommendations to executives and key stakeholders, facilitating data-driven decision-making processes and driving business growth.
Research and Strategy Analyst
Zee Entertainment Television
09.2021 - 12.2021
- Created various Excel documents to assist with pulling metrics data and presenting information to stakeholders for concise explanations of best placement for needed resources
- Produced monthly reports using advanced Excel spreadsheet functions
- Improved inventory turnover and reduced stockouts by optimizing pricing based on demand fluctuations
- Boosted sales revenue by X% by employing focused dynamic pricing strategies during promotional periods
- Implemented code solutions to answer analytic questions and test and assess new methods
- Tested data prediction algorithms based on historical data
- Used statistical methods to analyze data and generate useful business reports
- Designed and implemented tools to support strategic value chain optimization initiatives
- Synthesized complex analytics-derived insights into easy-to-understand, actionable recommendations for business users.
Research and Strategy Analyst
Broadcast Audience Research Council
05.2021 - 07.2021
- Conducted statistical analysis on the viewership data to derive insights and trends
- Python's statistical libraries like SciPy and Stats Models can be used for hypothesis testing, regression analysis, and time series analysis
- Utilize Python's data visualization libraries like Matplotlib, Seaborn, and Plotly to create visualizations such as bar charts, line plots, and heatmaps
- Visual representations of the data aid in understanding trends and communicating insights effectively
- Create interactive dashboards using Python frameworks like Dash or Streamlit to present viewership metrics and insights in a user-friendly manner for stakeholders
- Generate automated reports summarizing viewership trends, audience demographics, and advertising effectiveness using Python's reporting libraries such as ReportLab or Jupyter Notebook for report generation.
Business Intelligence Analyst
Network18
09.2018 - 04.2021
- Leveraged on-site observation and personal interviews to identify team and individual strengths
- Reviewed internal systems and organized training plans to address areas in need of improvement
- Gathered, documented, and modeled data to assess business trends
- Conducted thorough reviews of operations to devise and deploy improvement strategies
- Evaluated diverse organizational systems to identify workflow, communication, and resource utilization issues
- Compiled research data and gave professional presentations highlighting finds and recommended optimizations
- Skilled at working independently and collaboratively in a team environment
- Gained strong leadership skills by managing projects from start to finish
- Proved successful working within tight deadlines and a fast-paced environment
- Used strong analytical and problem-solving skills to develop effective solutions for challenging situations
- Initiated market research studies and analyzed findings
- Reviewed marketing department's monthly analysis of customer acquisition data and campaign performance and made recommendations for improvement
- Conducted trend forecasting and analysis
- Reported performance and ROI of campaign media
- Developed regular payroll reports to provide insights into key metrics such as total payroll expenses, overtime costs, and employee benefits
- Customize reports to meet the specific needs of stakeholders, such as payroll managers, HR leaders, and senior management
- Create ad-hoc reports to address specific questions or requests from stakeholders in a timely manner
- Clean and validate the data to ensure accuracy and consistency
- Analyze the data to identify payroll expenses, trends, and variances using statistical methods and data analysis techniques
- Assessed KPIs to achieve in-depth understanding of campaign performance
- Monitored user behavior and lead generation
- Created and distributed surveys for data collection and analysis
- Generated reports to support development and implementation of marketing plans
- Researched and evaluated potential new markets and products.
Associate Manager (Statistical Analysis)
Broadcast Audience Research Council
11.2015 - 09.2018
- Leveraged on-site observation and personal interviews to identify team and individual strengths
- Created various Excel documents to assist with pulling metrics data and presenting information to stakeholders for concise explanations of best placement for needed resources
- Identified, analyzed and interpreted trends or patterns in complex data sets
- Worked in a Agile methodology
- Collaborated with business-unit leaders to identify and prioritize problems
- Calculate key audience measurement metrics such as ratings, reach, and share using Python
- Implement algorithms to analyze viewership patterns and audience demographics
- Tested data prediction algorithms based on historical data
- Utilized data visualization tools to effectively communicate business insights
- Worked with business intelligence software and various reports to glean insights into trends and prospects
- Extracted and interpreted data patterns to translate findings into actionable outcomes
- Implemented code solutions to answer analytic questions and test and assess new methods
- Documented effective and replicable methods for extracting data and organizing data sources
- Synthesized complex analytics-derived insights into easy-to-understand, actionable recommendations for business users
- Developed data mining algorithms to identify and classify patterns in data
- Developed complex dashboard and reporting tools to track business performance metrics
- Coordinated statistical activities for number of projects, updating data dictionaries and coding guides
- Develop machine learning models using Python's scikit-learn or TensorFlow libraries to predict viewership patterns, segment audiences, or detect anomalies in viewership data
- Pandas provides data structures like DataFrames, which facilitate the transformation of raw data into structured formats suitable for analysis
- Analyze data to identify trends, patterns, and anomalies, ensuring accuracy and compliance with regulatory requirements
- Perform data cleaning and validation to maintain data integrity and reliability
- Improve efficiency through data analysis and process automation
- Conduct cost-benefit analysis and recommend changes to payroll procedures or systems to enhance accuracy and efficiency
- Identify and mitigate risks related to payroll data security, confidentiality, and accuracy.
Guest Lecturer
Acharya Prafulla Chandra College
08.2014 - 09.2015
- Prepared and delivered lectures to students on various topics.
- Participated in professional development opportunities to stay current with industry trends and best practices in education.
- Selected and designed lesson plans and curriculum to meet academic objectives.
- Taught diverse student population by employing various learning styles and abilities.
- Built strong rapport with students through class discussions and academic advisement.
Education
Master of Science - Statistics
University of Kalyani
West Bengal, IndiaBachelor of Science - Statistics
Acharya Prafulla Chandra College
West Bengal, IndiaSkills
- HTML
- UNIX
- Windows
- Unix
- SSRS
- Power BI
- Tableau
- Business Intelligence
- Data Collection
- Microsoft Visio
- ETL Processes
- Data Visualization and Presentations
- Python
- SQL
- MS Excel
Languages
English
Hindi
Native or Bilingual
Bengali
Native or Bilingual
Timeline
Data Analyst
Independent Contractor
12.2022 - Current
Research & Strategy Analyst
Enterr 10 Television
01.2022 - 11.2022
Research and Strategy Analyst
Zee Entertainment Television
09.2021 - 12.2021
Research and Strategy Analyst
Broadcast Audience Research Council
05.2021 - 07.2021
Business Intelligence Analyst
Network18
09.2018 - 04.2021
Associate Manager (Statistical Analysis)
Broadcast Audience Research Council
11.2015 - 09.2018
Guest Lecturer
Acharya Prafulla Chandra College
08.2014 - 09.2015
Master of Science - Statistics
University of Kalyani
Bachelor of Science - Statistics
Acharya Prafulla Chandra College
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