You will get Exploratory, Diagnostic, Predictive Analysis - Insights and Visualization

Tirthankar G.Status: Offline
Tirthankar G. Tirthankar G.
Rising Talent

Let a pro handle the details

Buy Machine Learning services from Tirthankar, priced and ready to go.
Tirthankar G.Status: Offline
Tirthankar G. Tirthankar G.
Rising Talent

Let a pro handle the details

Buy Machine Learning services from Tirthankar, priced and ready to go.

Project details

I will analyze your data to uncover patterns, drivers, anomalies, and actionable insights using proven statistical and data science techniques. You will receive a clean dataset, visual analysis, and a clear, business-ready report or presentation.

Project Includes
• Data understanding and quality checks
• EDA and Diagnostic Analysis
• ML Driven Model
• Visualizations (charts, tables, summaries)
• Insight-driven report or PowerPoint presentation

Tools & Technologies
• SAS (Access needs to be provided)
• R
• Python (if required)
• Excel / CSV / SQL extracts

Deliverables
• Cleaned and analyzed dataset (optional)
• Visual analysis (charts and tables)
• Insight summary (PDF / PowerPoint / Word)
• Key findings and recommendations

Who This Is For
• Businesses wanting to understand their data before modeling
• Marketing, sales, churn, or customer analytics projects
• Clients unsure why performance is changing

Why Choose Me
• 20+ years of analytics and data science experience
• Strong business + statistical background (M.Stat, ISI)
• Deep expertise in SAS, R, and enterprise analytics
• Clear, stakeholder-friendly communication
• Reliable and deadline-focused delivery
Machine Learning Tools
Microsoft Excel, NumPy, pandas, Python, R, SAS, scikit-learn
What's included
Service Tiers Starter
$100
Standard
$250
Advanced
$800
Delivery Time 2 days 10 days 15 days
Number of Revisions
222
Number of Graphs/Charts
356
Model Validation/Testing
-
-
Model Documentation
-
-
Data Source Connectivity
-
-
-
Source Code
-
-
-
Optional add-ons You can add these on the next page.
Fast Delivery
+$50 - $400
Additional Model Variation (+ 3 Days)
+$300
Model Documentation (+ 3 Days)
+$50
Source Code (+ 2 Days)
+$50
Tirthankar G.Status: Offline

About Tirthankar

Tirthankar G.Status: Offline
Time Series Forecasting | ML & Predictive Analytics | Python, SAS, R
Kolkata, India - 1:28 am local time
I help businesses build reliable forecasting and predictive analytics solutions using Python, SAS, and R.

My expertise includes Time Series Forecasting, Machine Learning, Demand Forecasting, Customer Analytics, Fraud Detection, and Data Quality Engineering. I have worked with enterprise clients across telecom, banking, retail, and consulting domains, delivering analytics solutions that support real business decisions.

🔹 Core Areas of Expertise

• Time Series Forecasting (ARIMA, SARIMA, Prophet, XGBoost, Random Forest)
• Demand & Sales Forecasting
• Predictive Modeling & Machine Learning
• Customer Churn & Segmentation Analytics
• Fraud / AML Analytics
• Data Cleaning, Transformation & Deduplication
• Python, SAS, R, SQL, Excel Automation

🔹 What I Deliver

• Accurate and explainable forecasting models
• Clean, structured, and analysis-ready datasets
• Business-focused analytical insights
• Well-documented and reproducible code
• Clear visualizations and reporting

I have led analytics initiatives for organizations including KPMG, PwC, and enterprise consulting teams, with hands-on experience delivering end-to-end analytics solutions — from raw data preparation to production-ready predictive models.

Whether you need forecasting, predictive analytics, customer intelligence, or data preparation support, I focus on delivering scalable, practical, and business-oriented solutions.

Let’s discuss how I can help with your project.

Steps for completing your project

After purchasing the project, send requirements so Tirthankar can start the project.

Delivery time starts when Tirthankar receives requirements from you.

Tirthankar works on your project following the steps below.

Revisions may occur after the delivery date.

Understanding Data

I load the data and understand the columns and do a basic check on the health of the data

Explore the data

1. Exploratory DA 2. Diagnostic Analysis (when required) 3. Feature Engineering (if required) 4. Build ML Model (if required) pipeline. Note that step 1 & 2 would require me to apply various statistical methods on the data depending on the context.

Review the work, release payment, and leave feedback to Tirthankar.