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Data Analyst

Rose International

Part of the Operations team. Project managing data labelling operations to train LLM models.

Aston Carter

Part of the New Business Verticals team using data tools like Python, SQL, Mode, AWS S3, Google Colab, Google Sheets, Excel (Power Query) & Snowflake to organize, clean and analyze data for a faster more efficient merchant and customer experience.

dentsu

Part of the Analytics & Measurement team using data tools like Tableau, SQL, Excel, & Google Sheets to report on global performance marketing campaigns across marketing channels like Facebook Ads, Google Ads, Twitter Analytics etc.

Akorbi

Part of the Operations team where I analyzed data and identified issues within software utilizing different internal data analytics and 3D visualization tools such as Xview, Carcraft and Webviz.

COOP

In partnership with Microsoft, Oath (Yahoo!), and Salesforce, a powerful 200-hour selective Data Analytics apprenticeship for first generation college grads to expand hard and soft skills in data.

Delta Analytics

Seattle Against Slavery now called 'The Lantern Project' aims to end sexual exploitation in our communities by changing culture through prevention, intervention, and transformation.

As a Consultant at The Lantern Project, I built Tableau Dashboards to analyze and visualize Microsoft's Freedom Signal Platform's product outreach, effectiveness and response rates using data queried from MongoDB and PostgreSQL.

Nielsen

●	Optimized strategy & growth by monitoring 10+ KPIs to measure success; reported 3 solutions to Sr managers
●	Supported Sr managers in implementing a new reporting platform by developing 2 analytics dashboards using Tableau
●	Tested the impact of a new solution on key metrics & measured potential value by analyzing data on G-Sheets

Coca-Cola CCI

●	Increased customer engagement for Coca-Cola through major product marketing initiatives e.g., ‘Reels-on-Wheels’ 
●	Optimized sales distribution by investigating sales data of 4800+ outlets on SQL & Excel (vlookup & pivot tables)
●	Increased marketing channel effectiveness by analyzing customer behavior & preferences data using Excel

FlatRock Associates

FlatRock is an early & growth stage private investment firm which is not backed by any LPs and that makes it easier to invest in & advise companies and funds.

●	Increased ROI for clients by ~0.5% by advising on investment strategies through 15+ data-driven Tableau reports
●	Reduced research time for investors by 14% through 30+ reports on global outlook by analyzing data in SQL/Excel
●	Trained 2 interns on report writing & global macroeconomic analyses to help executives focus on client relations

Email: alihaidersoni62@gmail.com

I’ve always seen data as a way to sharpen our understanding of the world, and each step in my career has proven that true. Early on, I learned how even a few thousand rows of numbers could uncover hidden efficiencies, reveal subtle market opportunities, and spur strategic growth. Back then, it was just me, a spreadsheet, and a determination to separate meaningful trends from the noise.

As I evolved, so did the scale and complexity of my work. I handled 50+ analytics requests weekly, managed teams to produce client-facing reports in record time, and turned month-long projects into single-week sprints. I streamlined processes, automated repetitive tasks, and cut through redundancies to save entire teams hours of manual effort. My mission? Make data easier to grasp and faster to act on.

I found that data can do more than measure outcomes—it can guide decisions. By collaborating with product, engineering, and marketing teams, I ensured everyone could use insights without needing a crash course in SQL or Python. It wasn’t just about the numbers; it was about telling a story that influenced everything from marketing spend to product improvements. I helped refine KPIs, elevate user experiences, and boost campaign performance—all by looking at the world through a data-driven lens.

At the heart of my work is a belief that data should empower people. I’ve mentored new analysts, showing them how to transform tables into tangible strategies. I’ve built dashboards that cut through complexity, turning thousands of metrics into intuitive visuals that leaders can act on. Over time, I’ve honed a simple yet powerful formula: combine technical skills with creative thinking and clear communication, and you’ll drive meaningful change.

If you need someone who can dive into complex datasets, orchestrate high-impact initiatives, and translate insights into compelling calls to action, I’m ready. Let’s talk about how I can help illuminate the path ahead—one dataset, one insight, one decision at a time. Feel free to send me a DM or an email, and let’s explore how data can become your strategic advantage.

Email: alihaidersoni62@gmail.com

Ali Haider Soni

Confidential

Senior Data Engineer

Kockpit Analytics

Business Intelligence Developer

Lushai Analytics

BI Analyst

Mizoram University

Junior Project Manager - Database and Visualization

Developer - Database and Visualization

Hi, I am a Data Engineer with experience in both the field of Data Analytics and Data Engineering.

➡️ Tech stack I worked so far : SQL, Power BI, Python, Apach Spark (Pyspark), Azure Cloud Service (ADF, ADLS-Gen2, Databricks, Azure Functionapp, Azure Webapp, etc), Snowflake Data Warehouse, Flask and Quart web development framework.

➡️ Worked on both on-prem as well as cloud technologies.

➡️ Experience with providing end-to-end data solutions started from building the ETL architecture to Power BI development and implementation as well as creating websites/applications on Flask and Quart framework.

➡️ Domains I worked so far: Retail, FMCG, Energy and Utilities and E-commerce.

➡️ Worked with clients from India, US and UK.

➡️ Closely worked with C-level management professionals for providing the best fit solutions by understanding the business requirements.

➡️ A team player and an individual contributor with experience of working in Agile methodology and Scrum framework.

Munna Das

SQL sub queries can be very confusing to a beginner.

As a beginner I also had a hard time understanding and writing sub queries.

Here's an approach that helped me a lot during my initial days with SQL :

➡️ Read the problem statement multiple time and note down what are the fields/insights the problem statement is demanding.

➡️ Do not focus on sub-queries initially but just treat the sub-query as an individual query and note down all the queries required to achieve the objective. You don't necessarily have to write it correctly but just for basic understanding of what you are trying to find.

➡️ Out of all the queries you wrote above, find out which one is the innermost query, the one which is independent of all the other queries and can be calculated directly from the dataset.

➡️ Write this independent query first, then find out that query which is directly dependent on this query and check on how you can integrate both these query together.

➡️ Likewise keep on identifying the next dependent query and keep on integrating.

Here's a simple example for better understanding:

📍Problem statement: Find the name of employees in a company whose salary is above the average salary of their development.

➡️ Here we need to find two things:
📍 employee who's salary is greater than average salary of his department
📍 average salary of the departments.


➡️ First query depends on the 2nd query and 2nd query is independent. So write down the 2nd query first :

📍 SELECT dept_id, avg(salary) AS avg_salary From employees GROUP BY dept_id

➡️ Understanding the logic behind the dependent query :

📍rough query : SELECT employee_name FROM employee WHERE salary > the answer that you are getting from the above query.

➡️ Understanding how to integrate both this query together to get the correct answer based on the employee's department and you are done ✅

P.S - Even if the person prefers CTE, they can use the above approach to understand how to create CTE and integrate it with the main query.

#sql #data

Senior AI Engineer | Backend Engineer | Agentic AI | Generative AI

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