Sreejith Sreedharan

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ABOUT ME

Data Science, Analytics & BI Developer with 11+ years of experience

As a Lead Marketing Data Scientist at Appliances Online (a division of Winning Group), I am constantly seeking new and innovative ways to drive business growth through data-driven insights. With over ten years of international experience in data science and analytics, I have honed my expertise in cloud computing, machine learning, big data analytics, and business intelligence.

Throughout my career, I have worked as a liaison between business units and technology teams, leveraging my strong communication and collaboration skills to effectively lead consulting initiatives. I am passionate about the potential of predictive analytics and cloud computing to provide scalable insights and have developed strong skill sets in data modeling, data visualization, and data science.

I am particularly excited about the possibilities of scaling up data science and analytics projects in the cloud, leveraging Linux/Ubuntu servers in virtual machines to enable end-to-end ML deployment processes. Looking ahead, I see myself at the forefront of data-driven marketing management consulting.

Academically, I hold a Bachelor's degree in Electronics Engineering and a postgraduate degree in Information Technology & Strategic Marketing from the University of Technology, Sydney, where I was recognized as an Outstanding International Student Award Holder in both 2014 and 2015.

In addition to my professional work, I am an active blogger on Medium, Towards Data Science, Analytics Vidhya, and The Startup. Outside of work, I enjoy traveling, soccer, skydiving, and exploring topics related to metaphysics.

As an Australian citizen with an Indian lineage, I am authorized to work full-time in Australia, New Zealand, India, and the US on an E3 visa. If you'd like to learn more about my experience or discuss potential collaboration opportunities, feel free to check out my portfolio on GitHub or reach out to me directly at +61-434221939.

Cheers
Sree

English

Sydney (+10:00)

Joined December 2022

EXPERTISE

SQL

10 years experience

1. Proficient in writing optimized SQL queries, stored procedures, triggers, and views. 2. Experience with various database management s...

1. Proficient in writing optimized SQL queries, stored procedures, triggers, and views. 2. Experience with various database management systems including MySQL, Oracle, Microsoft SQL Server, and PostgreSQL. 3. Strong knowledge of data migration, ETL processes, and performance tuning. 4. Excellent communication skills and ability to work closely with clients to understand their requirements and deliver high-quality solutions.

Python

9 years experience

1. 11+ years of experience as a freelance Python developer. 2. Expertise in automating end-to-end point-in-time and predictive analytics...

1. 11+ years of experience as a freelance Python developer. 2. Expertise in automating end-to-end point-in-time and predictive analytics tasks in AWS, GCP, and Azure virtual machine instances. 3. Proficient in popular Python libraries such as Pandas, Numpy, Scikit-learn, TensorFlow, PyTorch, Keras, Pyspark, and Matplotlib. 4. Extensive experience in developing data pipelines, performing data preprocessing and analysis, and implementing machine learning models for predictive analytics. 5. Strong track record of delivering innovative and scalable solutions, meeting project deadlines, and effective communication with clients.

Apache Spark Pandas NumPy TensorFlow PyTorch Keras Matplotlib

7 years experience

1. 9+ years of experience utilizing R for end-to-end point-in-time and predictive analytics in virtual machine instances across AWS, GCP,...

1. 9+ years of experience utilizing R for end-to-end point-in-time and predictive analytics in virtual machine instances across AWS, GCP, and Azure. 2. Proficient in handling key R libraries for data science, analytics, and business intelligence projects, including data.table, dplyr, ggplot2, caret, xgboost, and randomForest. 3. Versatility in adapting R to different clients and projects from diverse industries. 4. Proven track record of delivering exceptional results that exceed client expectations. 5. Reputation as a reliable and skilled professional in the freelancing job site community, with a strong commitment to excellence.

Google BigQuery

7 years experience

1. Over 7 years of experience utilizing Big Query for end-to-end point-in-time and predictive analytics. 2. Expertise in Big Query ML, S...

1. Over 7 years of experience utilizing Big Query for end-to-end point-in-time and predictive analytics. 2. Expertise in Big Query ML, Stored Procedures, and Google Vertex AI. Worked with diverse clients across industries such as e-commerce, non-profits, hospitality, and retail. 3. Developed custom machine learning models using Big Query ML & Vertex AI to uncover patterns in large datasets. 4. Created stored procedures to optimize data processing pipelines. 5. Ability to automate data science & analytics workflows, delivering accurate and timely results. 6. Empowered clients to make informed decisions and achieve business goals.

Google Data Studio Google Analytics Google Cloud Platform

Google Data Studio

6 years experience

1. Proficient in data visualization using Google Data Studio, including proficiency in using BigQuery and native APIs. 2. Successfully t...

1. Proficient in data visualization using Google Data Studio, including proficiency in using BigQuery and native APIs. 2. Successfully transformed complex data into visually appealing and interactive dashboards for clients worldwide, leveraging the power of BigQuery and native APIs for seamless data integration. 3. Proficient in advanced features of Google Data Studio, such as data blending, calculated fields, custom formulas, and integrating with BigQuery and native APIs for data retrieval and analysis. 4. Expertise in data visualization best practices, including choosing the right chart types, creating meaningful data labels, applying effective color schemes, and leveraging BigQuery and native APIs to unlock valuable insights. 5. A strong reputation as a trusted data visualization expert, resulting in positive feedback, repeat business, and long-term partnerships, with a proven track record of delivering high-quality, data-driven insights using Google Data Studio and associated technologies

Microsoft Power BI

6 years experience

1. 6+ years of experience with Power BI, specializing in DAX, Power Query, data modeling, data integration, and report development. 2. D...

1. 6+ years of experience with Power BI, specializing in DAX, Power Query, data modeling, data integration, and report development. 2. Deep expertise in creating visually appealing and user-friendly dashboards using Power BI. 3. Strong ability to translate complex business requirements into meaningful visualizations using DAX and Power Query for advanced data manipulation. 4. Skilled in optimizing performance for large datasets and creating interactive reports that allow users to explore data and uncover insights. 5. Excellent communication and collaboration skills, with a track record of delivering high-quality solutions that drive business success through data-driven decision-making.

Microsoft Power Apps DAX

REVIEWS FROM CLIENTS

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SOCIAL PRESENCE

GitHub

predict-churn-py

Predict Customer Churn in Python

Jupyter Notebook

sarima-in-py

To predict any timestamped data points using ARIMA Models in Python

Jupyter Notebook

Community Posts

Predict Customer Retention Rate & LTV

A beginner-friendly walkthrough to using Python for customer retention analytics and lifetime value modeling.

Audience Text Mining

A Step-by-Step Tutorial on Topic Modeling, Summarization, Keyword Extraction and Sentiment Analysis Using Pre-trained classifiers on Yelp User Reviews Dataset

EMPLOYMENTS

Lead Marketing Data Scientist

Winning Group

2020-11-01-Present

Managed the design, development, and deployment of several machine learning algorithms that predicted customer segments, lifetime...

Managed the design, development, and deployment of several machine learning algorithms that predicted customer segments, lifetime value, and the likelihood of engagement; resulting in a 25% higher repeat purchase rate YoY.

Configured a personalized customer-centric product recommendation engine using Association Rule Mining algorithms that increased the add-to-cart size of upselling & cross-selling marketing campaigns by 40%.

Conceptualized, architected, and implemented NLP models that analyzed the unstructured customer feedback in the NPS customer satisfaction surveys using text clustering & sentiment analysis. Led the project end-to-end and worked directly with the senior leadership to drive product enhancements; resulting in an overall increase in Net Promoter Score from 78 to 85 points within three business quarters.

Python

SQL

Python

SQL

Google BigQuery

Google Cloud Platform

Senior Marketing Analyst (Predictive Modelling)

Servcorp

2018-10-01-2020-10-01

Developed and owned a fully operational marketing analytics reporting framework on the cloud. Employed data management (SQL, R, P...

Developed and owned a fully operational marketing analytics reporting framework on the cloud. Employed data management (SQL, R, Python) and visualization (Power BI) processes to analyze the internal (in-house CRM leads & Sales) and external (FB/Twitter/AdWords/GA, etc.) datasets that saved 80 to 100 staff hours on avg. per location per week globally.

Forecasted regional sales orders using ARIMA & Prophet models with 80 to 85% accuracy. Partnered with logistics and product teams to use this model to optimize inventory saving $2M worth of procurement & storage costs annually.

Designed and implemented a near-real-time competitor product price analysis model using web scraping techniques in R programming. Trained sales team to evaluate competitor’s product price fluctuations and thereby uplifted 20% of the underperforming markets in FY 2019.

Modeled a supervised machine learning classifier that predicted customers’ propensity to churn with an 85% accuracy rate. Segmented the customers based on the propensity scoring model into three attrition segments and pursued strategic retention initiatives that led to a reduction in attrition rate by 9% in FY 2019; saving $2.5M globally.

Python

SQL

Python

SQL

Azure

Microsoft Power BI

Marketing Data Analyst

Mission Australia

2017-08-01-2018-08-01

In 12 months, handled four leading campaigns and generated multi-channel marketing campaign analysis reports using the CRM (Sales...

In 12 months, handled four leading campaigns and generated multi-channel marketing campaign analysis reports using the CRM (Salesforce &Dynamics 365) and data analytic platforms (SQL, Python & Power BI).

Developed and operationalized a supervised machine learning algorithm that predicted the likelihood of engagement of existing supporters towards the fundraising campaigns of the organization. Collaborated with the retention team to integrate insights from this propensity to repurchase model that generated 25% higher single-giving contributions in FY2018.

Python

SQL

Python

SQL

Azure

Amazon S3

Amazon Redshift

Microsoft Power BI

PROJECTS

Unlocking Customer Lifetime Value with Python: A Step-by-Step GuideView Project

2022

A beginner-friendly walkthrough to using Python for customer retention analytics and lifetime value modelling.

Python

Google Data Studio

Python

Google Data Studio

Predict Customer Churn in PythonView Project

2021

A step-by-step approach to predict customer attrition using supervised machine learning algorithms in Python

Python