You will get an advanced time series forecasting model that makes use of Python, and R.
Project details
Hi there,
I am a Full Stack Data Scientist with over 5 years of data analysis and machine learning experience. This service will assist you in gaining more useful insights into your company, brand, and so on, and I have completed several projects on time series forecasting using various methods and tools.
Some of my relevant abilities and achievements involve:
Expertise in the Python and R programming languages, as well as libraries such as pandas, numpy, scikit-learn, tensorflow, keras, statsmodels, forecast, and others.
Extensive experience with time series forecasting techniques such as ARIMA, SARIMA, LSTM, Prophet, and others.
familiar with time series data preprocessing, feature engineering, model selection, evaluation, and optimization
Capable of communicating effectively with clients and stakeholders while delivering high-quality results on time and within budget.
I'm looking forward to finding out more about your project and how I can assist it to succeed. Please contact me at any time to discuss further details.
Thank you for taking the time to read this.
Regards,
N. Mallikharjun
I am a Full Stack Data Scientist with over 5 years of data analysis and machine learning experience. This service will assist you in gaining more useful insights into your company, brand, and so on, and I have completed several projects on time series forecasting using various methods and tools.
Some of my relevant abilities and achievements involve:
Expertise in the Python and R programming languages, as well as libraries such as pandas, numpy, scikit-learn, tensorflow, keras, statsmodels, forecast, and others.
Extensive experience with time series forecasting techniques such as ARIMA, SARIMA, LSTM, Prophet, and others.
familiar with time series data preprocessing, feature engineering, model selection, evaluation, and optimization
Capable of communicating effectively with clients and stakeholders while delivering high-quality results on time and within budget.
I'm looking forward to finding out more about your project and how I can assist it to succeed. Please contact me at any time to discuss further details.
Thank you for taking the time to read this.
Regards,
N. Mallikharjun
Machine Learning Tools
Azure Machine Learning, Keras, Microsoft Excel, pandas, Python, Python Scikit-Learn, R, scikit-learn, SPSS, Tableau, TensorFlow, XGBoostWhat's included $25
These options are included with the project scope.
$25
- Delivery Time 5 days
- Number of Revisions 2
- Number of Model Variations 3
- Number of Scenarios 3
- Number of Graphs/Charts 5
- Model Validation/Testing
- Model Documentation
- Data Source Connectivity
- Source Code
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GG
Gunasundaram G.
Sep 6, 2022
API required for ML using Python
Mallikharjun Namagiri has successfully completed the project meeting the requirements. He was very cooperative with good communication skills and had the knowledge to delivery the APIs.
MZ
Mohamed Z.
May 22, 2021
IT Solution architecture (idea validation)
I didn't have the chance to work with Mallikharjun on this assignment. However, he was honest and forthcoming about what he can and what he can't do during the consultation phase
About Mallikharjun
Senior GenAI & NLP Data Scientist | Telecom | LLM | Customer Analytics
Bangalore, India - 6:29 pm local time
🌟 𝐊𝐞𝐲 𝐡𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬 𝐨𝐟 𝐦𝐲 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 𝐢𝐧𝐜𝐥𝐮𝐝𝐞 🌟
✅ 𝗥𝗲𝘀𝘂𝗺𝗲 𝗣𝗮𝗿𝘀𝗶𝗻𝗴 𝗔𝗣𝗜: Designed a robust NLP-based API to extract structured data from diverse document formats, earning client praise for its accuracy and efficiency.
✅ 𝗔𝗜-𝗗𝗿𝗶𝘃𝗲𝗻 𝗔𝗣𝗜 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: Developed scalable APIs for machine learning workflows, showcasing a deep understanding of Python and backend integration.
✅ 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗘𝘅𝗽𝗹𝗼𝗿𝗮𝘁𝗶𝗼𝗻: Leveraging the latest advancements in Generative AI to craft innovative solutions that future-proof your business operations.
Whether you need to automate processes, uncover trends, or build AI-powered tools, I am here to provide solutions that drive results. Let’s collaborate to turn your data into a strategic advantage!
🌟 𝐏𝐨𝐫𝐭𝐟𝐨𝐥𝐢𝐨 𝐚𝐧𝐝 𝐖𝐨𝐫𝐤 𝐇𝐢𝐬𝐭𝐨𝐫𝐲 𝐄𝐧𝐡𝐚𝐧𝐜𝐞𝐦𝐞𝐧𝐭𝐬 🌟
𝗥𝗲𝘀𝘂𝗺𝗲 𝗣𝗮𝗿𝘀𝗲𝗿 𝗔𝗣𝗜 (𝗡𝗟𝗣)
✅ Built an API to extract critical details from various resume formats, improving client hiring workflows.
✅ Utilized Python and NLP libraries to achieve over 95% parsing accuracy.
𝗔𝗣𝗜 𝗳𝗼𝗿 𝗠𝗟 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀
✅ Delivered a scalable API enabling seamless ML model integration into production environments.
✅ Received glowing feedback for streamlining complex processes and exceeding performance expectations.
𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀
✅ Developing tools utilizing Generative AI to enhance predictive analytics and automate content generation.
🌟 𝐒𝐤𝐢𝐥𝐥𝐬 𝐒𝐞𝐜𝐭𝐢𝐨𝐧 𝐑𝐞𝐟𝐢𝐧𝐞𝐦𝐞𝐧 🌟
𝖢𝗈𝗋𝖾 𝖲𝗄𝗂𝗅𝗅𝗌:
✅ Python | Machine Learning | Data Science | Natural Language Processing (NLP)
✅ Generative AI | Prompt Engineering | Artificial Intelligence
✅ Data Visualization (Power BI, Streamlit) | Data Extraction & Scraping
✅ API Development (Flask) | Cloud Platforms (AWS, Azure, GCP)
𝗆𝖾𝗋𝗀𝗂𝗇𝗀 𝖲𝗄𝗂𝗅𝗅𝗌:
✅ LangChain | HuggingFace Models | Advanced Prompt Engineering
✅ Large Language Model (LLM) Integration
🌟𝐊𝐞𝐲𝐰𝐨𝐫𝐝𝐬🌟
Python, Data Science, Data Analytics, Machine Learning, Natural Langauge Processing (NLP), Automation, SpaCy, NLTK, Flask RESTful API, database (MySQL, Postgres SQL), IBM SPSS, Statistics, Pandas, Numpy, Matplotlib, Seaborn, Sciket Learn(sklearn), Web Scraping, Scrapy, Selenium, Beautifulsoup, lxml, urllib, OCR, Prompt Engineering, Generative AI, Artificial Intelligence
Steps for completing your project
After purchasing the project, send requirements so Mallikharjun can start the project.
Delivery time starts when Mallikharjun receives requirements from you.
Mallikharjun works on your project following the steps below.
Revisions may occur after the delivery date.
Collect and clean the data
Need to obtain a historical time series data set to forecast, as well as perform any necessary preprocessing steps, such as handling missing values, outliers, transformations, and so on.
Explore and visualise the data
Plot the data and examine its properties such as trend, seasonality, cyclicity, autocorrelation, stationarity, and so on. You must also identify any potential explanatory variables or external factors that may have an impact on the time series.