About Me

I am a highly motivated and adaptable individual with a strong work ethic. I thrive in fast-paced environments and enjoy tackling complex problems using critical thinking and creativity.

My passion for continuous learning drives me to stay updated with the latest developments in data analysis and AI, ensuring that I am equipped with the most cutting-edge techniques and methodologies.

With a diverse educational background and hands-on experience, I possess a unique combination of technical and business skills.

I am actively searching for Data Analytics and Data Science opportunities and I am ready to relocate for professional growth.

My data science skills include:

  • Applied Artificial Intelligence & Machine Learning: Proficient in implementing supervised and unsupervised machine learning algorithms, including Deep Learning, NLP, Recommender Systems, and other AI concepts.
  • Programming Languages & Frameworks: Proficient in Python, utilizing libraries such as NumPy, Pandas, Scikit-learn, Flask, Keras, and TensorFlow.
  • Data Analysis & Data Visualization: Skilled in creating impactful visualizations and interactive dashboards using tools like Power BI, Tableau, Matplotlib, and Seaborn.
  • Data Cleaning and Preprocessing: Experienced in cleansing and preprocessing raw data to ensure data quality and integrity.
  • Web Development: Proficient in developing web applications using HTML, CSS, Flask, and Streamlit.
  • Data Warehousing and Database Systems: Proficient in working with relational databases, including MySQL.
  • Excel: Advanced proficiency in Microsoft Excel for data analysis and reporting purposes.
  • Statistical Concepts: Solid understanding of probability, statistics, and hypothesis testing.
  • Communication and Problem-Solving: Strong analytical skills, effective communication of technical concepts, and a proactive problem-solving mindset.

Basic Details:

NAME : AMRESH MISHRA
LOCATION : LUCKNOW
EDUCATION :
POSTGRADUATION : MBA(IT AND MARKETING)-HONS | AKTU-2022 | 8.1 CGPA
GRADUATION : BCA | IGNOU | 2017 | 60%
EMAIL ID : AMRESHMISHRA247@GMAIL.COM
HOBBIES :
POETRY WRITING AND PHOTOGRAPHY

PROJECTS

Email Spam Prediction

View Live Project

Objective:
The objective of this project is to develop a machine learning model that can accurately predict whether an email is spam or not. By analyzing the content, metadata, and other relevant features of emails, the aim is to classify incoming emails as spam or legitimate, helping users identify and filter out unwanted or malicious email messages effectively.

Tools Used:Python , Machine learning, Flask, Streamlit

View Code

Movie Recommender System

Team lead: Managed team of 6 members in this project
Objective:
The objective of a movie recommendation system is to provide personalized movie recommendations to users based on their preferences and previous movie-watching behavior. The system aims to suggest movies that are likely to be of interest and relevance to each individual user.

Tools Used:Successfully developed and integrated a into Movie Recommender System a user-friendly web interface.

Tools Used:Python, scikit-learn, pandas, matplotlib, NLP, Streamlit, HTML, CSS, and IMDb API.
Utilized Python, scikit-learn, pandas, matplotlib, NLP, Streamlit, AWS, HTML, CSS, and IMDb API.

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Walamart Sales Forecast

Objective:
The objective of this project is to develop a sales forecast model for Walmart, one of the largest retail companies in the world. By analyzing historical sales data and incorporating relevant factors, such as seasonal trends, economic indicators, and promotional activities, the aim is to predict future sales accurately. This forecast will help Walmart optimize its inventory management, plan marketing strategies, and make informed business decisions.

Tools Used: Python , Machine learning, Flask, Streamlit

View Code

Flipkart Laptop Price Prediction

Objective:
The objective of this project is to develop a machine learning model that can predict the prices of laptops on Flipkart, one of India's leading e-commerce platforms. By analyzing various features of laptops, such as brand, specifications such as HDD,SDD,Screen Size and Processor and other relevant factors, the aim is to provide accurate price predictions to assist both buyers and sellers in making informed decisions.

Tools Used:Python , Machine learning, Flask, Streamlit

View Code

Amazon Food Reviews Classification

Objective:
The objective of this project is to develop a machine learning model that can accurately classify Amazon food reviews as positive or negative. By analyzing the text content and other relevant features of the reviews, the aim is to classify the sentiment of the reviews, helping users identify and understand the sentiment expressed by customers regarding food products on Amazon.

Tools Used:Python , NLP , Machine Learning

View Code

The MNIST digit classification

Objective:
The MNIST digit classification project involves building a Deep Learning model to accurately classify handwritten digits from the MNIST dataset. The MNIST dataset is a widely used benchmark dataset in the field of machine learning and consists of a large collection of grayscale images of handwritten digits (0-9).

Tools Used: Deep learning , Python , Neural Networks

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CERTIFICATION

Advance Certification in Data Science and AI | IIT Madras & Intellipaat Machine Learning Rock Star the End-to-End Practice | COURSERA Data science and machine learning using python | NIELIT DIGITAL SKILLS: ARTIFICIAL INTELLIGENCE | ACCENTURE Azure Fundamentals | Simplilearn DATA ANALYSIS WORKSHOP | JOBAAJ LEARNINGS FOUNDATION OF MACHINE LEARNING | MACHINE LEARNING PLUS UNIVERSITY SQL BASIC | HACKERRANK DATA ANALYSIS USING TABLEAU | LAGOZON EDUTECH PVT LTD ACQUIRING DATA | ACCENTURE PYTHON FOUNDATION CERTIFICATION | INFOSYS FOUNDATION OF DATA ANALYSIS | LEAPS BY ANALYTTICA MACHINE LEARNING -LINEAR REGRESSION | LEAPS BY ANALYTTICA DATA ANALYSIS WITH PYTHON | IBM MASTERING PYTHON DATA ANALYSIS WITH PANDAS | INFOSYS MASTERING SQL JOINS | COURSERA MACHINE LEARNING | SIMPLILEARN Excel for Data Analytics Bootcamp | YBI FOUNDATION A Case Study on Suicides in India using Machine Learning | itronixsolutions Data Cleaning for Machine Learning with Python and Pandas | ITRONIX SOLUTIONS BUSINESS MODEL CANVAS ESSENTIALS PROFESSION CERTIFICATE | CERTIPROF Enterpreneurship & skill development programme on search engine marketing executive | NI-MSME FUNDAMENTAL OF DIGITAL MARKETING | GOOGLE