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About Me

Key Strengths:

- Building custom AI automation that enhances marketing, customer care, and sales processes.

- Streamline business processes to eliminate manual tasks and improve efficiency.

- Building AI agents using n8n that automate decision-making and streamline operations.

- Automating workflows with n8n and Make.com to eliminate manual tasks and improve team productivity.

- Developing interactive chatbots that engage customers, provide 24/7 support, and drive sales.

- Proficient in crafting and executing complex SQL queries for database analysis.

- Expert in conducting in-depth exploratory data analysis for comprehensive insights.

- Summarizing complex data into visually engaging charts, graphs, and dashboards.

- Utilizing Python's Numpy and Pandas for numerical operations and data manipulation.

- Skilled in interpreting complex data into visually compelling charts, graphs, and dashboards using Flourish and Tableau.

- Proficient in setting up and managing cold email campaigns using n8n, Instantly and Smartlead to drive effective outreach.

Research & Leadership Experience:

- Research Data Analyst at the International Institute of Law and Diplomacy, conducted data analysis, feature engineering and created interactive visualizations to support strategic decision-making.

- Field Investigator at the Centre for Genocide Studies, conducting in-depth interviews on socio-economic perceptions and bilateral trade.

- Team Lead at Youth Opportunities, enhancing content management processes and optimizing user engagement.

- Operations Intern at Youth Opportunities, contributing to the efficient sourcing and publication of national and international opportunities.

- Rover Scouting at Dhaka University, demonstrating leadership in managing events and tough circumstances.

I am a passionate data analyst committed to transforming data into well-informed decision-making. Let's connect to explore opportunities where my skills can contribute to impactful projects and initiatives. Open to collaborations and available for both full-time and part-time positions, eager to take on new challenges!

My Journey So Far

Work Experience

Research Data Analyst

International Institute of Law and Diplomacy

Developed a comprehensive database from scratch by executing data preprocessing and conducting feature engineering, utilizing Google Sheets and Pandas;
Created interactive charts and graphs using Matplotlib, Seaborn, Plotly, Canva, Flourish, and Tableau, effectively illustrating key insights and trends;
Produced interactive geographical maps using Flourish, effectively visualizing district-level data across Bangladesh;
Conducted various types of analysis, synthesized insights, and produced comprehensive reports, impacting decision-making processes and strategic planning.

06/2024 - 12/2024

Product Analyst

Techverse

Conducted comprehensive competitor analysis using Google Sheets, leading to improved strategic positioning and actionable market insights;
Developed data visualizations with Canva and Google Sheets and implemented digital marketing strategies, increasing product engagement and expanding customer reach;
Coordinated product development, design, and content management with Google Suite, spearheading project timelines and enhancing overall time management.

06/2022 - 05/2024

Field Investigator

Centre for Genocide Studies - University of Dhaka

Conducted in-depth interviews with over 100+ individuals representing diverse socio-economic backgrounds across Bangladesh;
Administered various puzzles to participants, successfully analyzing their responses to uncover nuanced perspectives on the subject matter;
Engaged in extensive discussions with participants, emphasizing Bangladesh's bilateral trade relations with other countries.

01/2022 - 02/2022

Team Lead, Bangladesh Operations

Youth Opportunities

Administered the end-to-end process of opportunity management at Youth Opportunities using Google Sheets including sourcing, posting, assigning tasks among interns, reviewing, and publishing opportunities, resulting in a streamlined and efficient workflow;
Applied design skills with tools like Canva and PowerPoint to create visually appealing feature images for posted opportunities, contributing to increased engagement and user interaction;
Developed monthly performance dashboard using Canva and Google Sheets, integrating KPIs to illustrate monthly team performance and streamlining data visualization for actionable insights;
Managed the WordPress dashboard meticulously, utilizing Google Suite to ensure content accuracy before publication, contributing to a seamless and professional user experience.

10/2019 - 02/2021

Operations Intern

Youth Opportunities

Published the latest national and international opportunities tailored for Bangladeshi youth, enhancing accessibility to valuable prospects for personal and professional growth;
Implemented an efficient tracking system using Google Sheets to organize and manage diverse opportunities, streamlining the process and ensuring timely information retrieval;
Supported the day-to-day operations of the Bangladesh team and earned recognition as the Intern of the Month in November 2018.

09/2018 - 09/2019

Browse My Recent

Projects

Impact of Air Pollution on Human Health

Analyzed specific causes of air pollution-related deaths, focusing on outdoor sources like transportation and industrial emissions. Along with household sources such as solid fuel usage for cooking and heating;
Identified regional disparities in death rates, emphasizing areas with a higher vulnerability to the adverse effects of air pollution;
Utilized technologies like numpy, pandas, matplotlib, seaborn, plotly, and race bar charts for a comprehensive analysis.

Trends and Insights of Global Tourism

Analyzed and compared metrics such as fatalities per million passengers, million passengers per fatality, hijacking incidents, fatal accidents, and fatalities to identify trends;
Developed a data-driven approach to enhance safety standards and improve the overall tourist experience by leveraging available information on air transport safety metrics;
Utilized technologies like numpy, pandas, matplotlib, seaborn, plotly, and race bar chart to analyze data and gain a profound understanding of the growth dynamics in the international tourism and air transport sectors.

Understanding Suicide Trends: Around the World

Analyzed global suicide data to identify patterns and trends across different age groups;
Utilized advanced data analysis technologies including numpy, pandas, matplotlib, seaborn, plotly, and race bar charts, to facilitate a comprehensive examination of suicide-related data and support evidence-based strategies for addressing this global public health concern.

Exploring Global Demographic Trends: 1950 to 2020

Explored and analyzed key global demographic indicators from 1950 to 2020, revealing significant shifts in population dynamics, age distribution, fertility rates, and mortality rates.
Identified disparities between regions and countries, highlighting challenges such as varying rates of population growth, poverty, and limited access to healthcare and education.
Leveraged technologies including numpy, pandas, matplotlib, and seaborn to visually represent and communicate the insights gained, facilitating a better understanding of global demographic trends for informed decision-making.

Impact of COVID-19: From Cases to Vaccines

Analyzed global and continental COVID-19 data using tools such as numpy, pandas, matplotlib, seaborn and plotly, providing a comprehensive understanding of the pandemic's impact on new cases, deaths, and vaccination rates.
Presented information on new cases and deaths per million people, as well as data on first, second, and third doses of the COVID-19 vaccine globally and by continent, offering insights into the effectiveness of vaccination efforts and factors influencing the pandemic's trajectory.
Leveraged advanced data analysis techniques to extract valuable insights into the spread of the pandemic, vaccination efficacy, and other contributing factors, contributing to a better comprehension of the ongoing global health crisis.

Connecting the World: A Comprehensive Overview

Explored the transformative journey of internet usage from the 1990s to 2020, emphasizing the exponential growth in global broadband subscriptions, showcasing its pivotal role in shaping modern connectivity.
Investigated the profound impact of the mobile revolution on internet accessibility, highlighting the surge in internet users worldwide. Explored the symbiotic relationship between mobile cellular subscriptions and the expansion of the online user base.
Leveraged cutting-edge technologies such as NumPy, Pandas, Matplotlib and Seaborn to proficiently analyze and visually represent the evolution of broadband subscriptions, internet users, mobile cellular subscriptions, and internet user ratios on a global, local, and regional scale, enhancing the comprehension of internet trends over the past three decades.

Trends of Global Energy Consumption

Explored global energy consumption trends over the last few decades, highlighting a significant increase in the number of people with access to electricity and a growing emphasis on cleaner cooking fuels.
Analyzed key metrics such as per capita electricity consumption and primary energy consumption per capita, providing insights into the current state of global energy usage.
Leveraged technologies like numpy, pandas, matplotlib, seaborn, and race bar charts to visually represent and communicate the intricate patterns and trends in global energy consumption, fostering a better understanding of the factors shaping our energy future.

Demographic Shifts in Bangladesh: 1950 to 2020

Explored key demographic indicators for Bangladesh from 1950 to 2020, including total population, male and female population, population density, sex ratio, median age, natural change, births, deaths, life expectancy, infant mortality rate, and net migration rate.
Analyzed changes and trends in Bangladesh's population over time, providing insights into the impact on the country's development and well-being.
Leveraged technologies such as numpy, pandas, matplotlib and seaborn to visualize and communicate demographic data effectively.

COVID-19 in Bangladesh

Analyzed data reveals the spread of COVID-19, showcasing trends in new cases and deaths, providing a comprehensive understanding of the pandemic's impact on the country.
Utilized datasets on first, second, and third doses administered, allowing for an evaluation of the effectiveness of the vaccination campaigns in Bangladesh during the specified time frame.
Employed technologies such as numpy, pandas, matplotlib and seaborn to create visual representations, aiding in the interpretation of complex data and facilitating a clearer understanding of the factors influencing the course of the COVID-19 pandemic in Bangladesh.

Energy Access and Consumption in Bangladesh

Explored and highlighted the multifaceted challenges in Bangladesh related to energy access, revealing disparities in electricity availability, clean cooking fuel access, and per capita energy consumption.
Revealed the significant reliance on traditional biomass for cooking in Bangladesh, contributing to indoor air pollution and adverse health effects. This insight underscores the need for targeted interventions to address public health concerns associated with energy consumption practices.
Utilized data analysis tools such as numpy, pandas and plotly to present a comprehensive picture of energy-related issues in Bangladesh. These insights provide a foundation for informed policy decisions aimed at improving energy access, reducing disparities, and promoting sustainable energy consumption.

What I've Done