About Me

I am a dedicated and passionate Data Scientist with a strong foundation in data analysis, machine learning, and statistical modeling. My journey into data science has been driven by my curiosity to uncover insights from data and apply them to solve complex problems. I have honed my skills in Python, SQL, and key libraries such as Pandas, NumPy, Matplotlib, Seaborn, Plotly and Time Series Analysis And Scikit-learn, through hands-on projects and continuous learning.

As a detail-oriented individual, I approach each task with analytical precision and a deep commitment to producing high-quality results. I am always eager to take on challenges that allow me to leverage my technical knowledge, expand my skill set, and contribute to impactful data-driven solutions.

Whether collaborating with teams or working independently, I bring enthusiasm, a strong work ethic, and a results-driven mindset. I am excited to contribute my skills to real-world projects and am fully committed to growing in the dynamic field of data science.

  • Programming LanguageProficient in Python and SQL, with experience of HTML,CSS
  • Machine LearningIn-depth knowledge of Supervised and Unsupervised Algorithms
  • EDA and Feature EnginerringExpertise in handling, cleaning, and preprocessing large datasets using Panda, NumPy, Matplotlib, Seaborn to find the useful trends.
  • Statistical AnalysisStrong understanding of statistical concepts like hypothesis testing, probability, and distributions
  • Data VisualizationSkilled in visualizing data using Matplotlib, Seaborn, and Plotly to communicate insights effectively
  • Model EvaluationExperience in model performance evaluation through metrics like accuracy, precision, recall, and F1-score
  • Version ControlFamiliar with Git and GitHub for collaborative coding and project version control
  • Web DevelopmentExperience in Flask for developing data-driven web applications
  • Problem SolvingStrong analytical thinking and ability to approach problems methodically and develop efficient solutions
  • July 2024-September 2024Data Mining Intern at CK & Sons Textiles


  • May 2024-June2024Data Science Intern at Prodigy Infotech


  • May 2024-June2024Data Science Intern at Bharat Intern
  • 2022-25BCA from CCS University, Meerut[Pursuing..]


  • 2020-22Senoir Secondary School[Science] from MBI School[90%]


  • 2018-20High Secondary School from MBI School[92%]

My Skills

Programming Language

Skilled in Python and SQL for data work, with a good grasp of HTML, CSS and Flask for web design. Bringing together tech skills and creative flair to build digital wonders.

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EDA And Feature Engineering

Mastering Pandas, NumPy, Seaborn, Matplotlib, and Plotly for top-notch exploratory data analysis (EDA). Dive deep into data with precision and creativity, crafting compelling insights that speak volumes.

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Data Science with Machine Learning

Mastering both Supervised and Unsupervised Machine Learning and Time Series Analysis is where my expertise shines. Whether guiding models with labels or uncovering patterns in uncharted data, I've got the skills to make data sing.

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My Projects

Book Recommendation System

Developed a Book Recommendation System using machine learning and Exploratory Data Analysis (EDA), leveraging collaborative filtering to suggest books based on user preferences. This system helps readers discover new books tailored to their tastes, enhancing their reading experience.

Human Vs AI Text Classification

Human Vs AI Text Classification

Developed a Human vs AI Text Classification system using machine learning classifiers to distinguish between human and AI-generated text. This solution helps ensure content authenticity, benefiting industries like education, media, and online platforms.

Car Price Prediction Model

Car Price Prediction Model

Created a Car Price Prediction system using web scraping and a regression model to estimate prices of second-hand cars. This helps buyers and sellers make informed decisions by providing accurate price estimates based on market data.

Bank Loan Predictor Model

BanKLoan Predictor Model

Developed a Bank Loan Predictor Model using classification algorithms and hyperparameter tuning to assess loan approval chances. This tool helps financial institutions make data-driven lending decisions, improving accessibility for loan applicants.

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Contact Me

nidhisharma070405@gmail.com

9193015784

Download Resume