ksharma67 Goto Github PK

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Name: Kshitij Sharma

Type: User

Bio: Welcome to my GitHub profile! I'm a results-driven Full Stack Developer with a passion for crafting innovative web applications.

Location: New York, USA

Hey folks!

About Me : .
I am a passionate Full Stack Developer with expertise in building web applications. As a Software Engineer, I contribute to both frontend and backend development, utilizing my skills in frontend technologies, as well as backend technologies and databases. With a keen eye for detail and a commitment to writing clean, efficient code, I consistently deliver high-quality solutions that exceed client expectations. My strong problem-solving skills and ability to work collaboratively make me a valuable asset to any development team.

🔭 Currently, I am working on diverse projects where I apply my skills in developing scalable and user-friendly web applications. I thrive in dynamic and collaborative environments, constantly learning and improving my skills to stay up-to-date with the latest industry trends.
🌱 Apart from my core skills, I am also keen on exploring Object-oriented design and Systems design, as I believe in continuously expanding my knowledge and expertise.
⚡ In my free time, I enjoy solving coding challenges on platforms like Leetcode to enhance my problem-solving skills and keep myself challenged. I am also an avid reader of tech articles, always staying updated with the latest advancements in the field of technology.
📫 You can reach me via LinkedIn at , and I am open to connect and collaborate on exciting projects!

🛠️ Languages and Tools :

🔥 My Stats :

🏆 GitHub Trophy :

Contribution Stats

Kshitij Sharma's Projects

anomaly-detection-on-temperature-device-failure

A typical anomaly detection task and performing KMeans, PCA, Gaussian distribution, and Isolation Forest.

arcade-game

Udacity-->arcade-game

car-dealership-database

Friendly Cars is a dealership that offers new cars from a single manufacturer. The dealership is located in a suburb of a large city. Its gross sales exceed one million dollars per year. It has ten employees – Jim Friendly (the owner/manager), eight salespeople, and an office manager.

citybuddy

CityBuddy is an MTA-based navigation app designed for both New New Yorkers and Native New Yorkers. It prioritizes accessibility and language support, and features personalized alerts, hard-coded maps for underground travel, and skill-dependent directions. Community-enhanced data ensures accurate information.

classic-solitaire-unity

ClassicSolitaireUnity reimagines the timeless Solitaire game with Unity, featuring immersive gameplay, customizable themes, and adaptive difficulty. Ideal for enthusiasts and newcomers alike, it modernizes the classic card game for all ages

cs691-wiki-templates

CS691 Wiki Templates

devopscert

Edureka

easyway

On Demand Home Services offers you all the home services that you may need, such as maintenance, cleaning, personal services, etc..

eda-on-ipl

In this python notebook, analysis of IPL matches from 2008 to 2020 is done using python packages like pandas, matplotlib and seaborn.

feed-reader

Udacity-->feed-reader

goldman-sachs-fintech-engineering-virtual-experience-program

👐 Hands-on experience with 😺 Hashcat along with deep dive in 🔐 password rules, hashing, and password cracking ⚠

google-india-challenge-scholarship-front-end-web-dev

Front-End Web Development

heart-failure-prediction

This problem is a typical Classification Machine Learning task. Building various classifiers by using the following Machine Learning models: Logistic Regression (LR), Decision Tree (DT), Random Forest (RF), XGBoost (XGB), Light GBM and Support Vector Machines with RBF kernel.

ibm-stock-predication-wiith-eda

In this i tried to design a model that can predict the price of stock using different methods and algorithms.

intel-stock-predication-wiith-eda

We are trying to design a model that can predict the price of stock using different methods and algorithms.

k-means-algorithm-on-the-iris-dataset

Applied the K-Means algorithm on the Iris dataset, and utilized the Silhouette Score method to find the best value of K

ksharma67

GitHub profile.

leetcode-blind-75

Leetcode Blind 75 problems solved in Python for interview prep.

leetcode-neetcode-150

Leetcode NeetCode 150 problems solved in Python for interview prep.

leetcode-neetcode-all

Leetcode NeetCode All problems solved in Python for interview prep.

lyft-back-end-engineering-virtual-experience-program

Architecting a low-level system to improve performance and modularity! 🚗

memory-game

Udacity-->memory-game

myreads_a_book_tracking_app

Udacity-->myreads_a_book_tracking_app

neighborhood_map_react

Udacity-->neighborhood_map_react

partial-dependent-plots-and-individual-conditional-expectation-plots

Individual Conditional Expectation (ICE) plots display one line per instance that shows how the instance's prediction changes when a feature changes. The Partial Dependence Plot (PDP) for the average effect of a feature is a global method because it does not focus on specific instances, but on an overall average.

partial-dependent-plots-individual-conditional-expectation-plots-with-shap

The goal of SHAP is to explain the prediction of an instance x by computing the contribution of each feature to the prediction. The SHAP explanation method computes Shapley values from coalitional game theory. The feature values of a data instance act as players in a coalition.

projcert

restaurant_reviews_app

Udacity-->restaurant-reviews-app