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I will build predictive analytics and time series forecasting models
Deep Learning Medical Image Analysis RAG LLM Time Series Analysis
Need a machine learning or deep learning model that actually works on your data?
Research Scientist at Medical College of Wisconsin and holds Master's in Data Science from IIIT Bangalore.
Expert in ...
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Need accurate forecasts from your time series data not just a basic ARIMA notebook?
I am a Deep Learning Engineer specializing in time series analysis and predictive analytics. I have built forecasting and anomaly detection systems across financial markets, retail demand, energy consumption, IoT sensors and industrial operations models that work on real messy data, not just clean toy datasets.
What I build:
- Financial Forecasting: stock prices, crypto trends, portfolio risk and market volatility
- Demand & Sales: retail inventory, supply chain and seasonal trend modeling
- Anomaly Detection: sensor faults, fraud signals and operational quality control
- Predictive Maintenance: equipment failure prediction and degradation modeling
- Energy & Weather: consumption forecasting and load modeling
- Real-Time Analytics: streaming pipelines and live prediction systems
Models I use:
- Classical: ARIMA, SARIMA, Exponential Smoothing, Prophet
- Deep Learning: LSTM, GRU, Transformers
- Ensemble: XGBoost, LightGBM and hybrid approaches
Message me with your dataset and goal I will tell you exactly which model fits and what accuracy to expect.
Programmiersprache:
Python
•
R
Frameworks:
scikit-learn
•
SimpleCV
•
keras
•
PyTorch
•
Panda
APIs:
Microsoft Computer Vision AI
•
Google Cloud Vision API
Tools:
Jupyter-Notizbuch
•
opencv
•
tensorflow
•
Stata
•
Colab
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FAQ
What data formats do you accept?
CSV, Excel, JSON or any structured tabular format. If your data is in a different format just message me and we will sort it out.
My dataset has missing values and outliers — can you handle that?
Yes. Messy real world data is the norm. I handle missing value imputation, outlier treatment, smoothing and normalization as part of every project.
Which forecasting model will you use for my data?
It depends on your data — seasonality, trend, length and frequency. I always test multiple approaches and pick the one that gives the best validated performance on your specific dataset.
What if I only have a small dataset?
Small datasets are workable. Transfer learning, feature engineering and classical statistical models often outperform deep learning on limited data. I will always recommend the most suitable method honestly.
Can you build a real time or live prediction system?
Yes — this is covered in the Premium package. I can build a deployment ready pipeline that takes live input and outputs predictions in real time.
I am not sure which package fits my project. What should I do?
Just message me before ordering. Tell me your data type, size and what you are trying to predict — I will recommend the right package and give you a clear scope before you spend anything.
