Daksh Sharma — Business Development Executive

Hello! I’m Daksh Sharma, a B.Tech Computer Science and Engineering student at COER University, Roorkee, deeply passionate about data analytics, machine learning, and business intelligence. I believe that data tells a story — and with the right tools and curiosity, we can translate that story into meaningful insights that shape smarter, more impactful decisions. Over the past few years, my academic journey and practical experiences have fueled a strong interest in the world of data science and analytics. What began as simple curiosity about how numbers influence business outcomes soon evolved into a career vision: to become a data-driven professional capable of uncovering insights, predicting trends, and helping organizations make informed, evidence-based decisions. At the heart of my work lies a simple philosophy — data has the power to transform everything**. Whether it’s optimizing a marketing campaign, improving user experience, or predicting customer behavior, I see every dataset as an opportunity to reveal hidden patterns and drive measurable change. Technical Skills and Tools My technical foundation spans a range of programming languages, visualization platforms, and analytical techniques that enable me to handle diverse data challenges. Programming Languages Python: Currently deepening my expertise in Python for data analytics, including libraries like Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn. I use Python for data wrangling, statistical analysis, and predictive modelling. SQL & MySQL Skilled in writing complex SQL queries for data extraction, transformation, and aggregation from relational databases. Data Visualization and BI Tools Power BI I create interactive dashboards that help businesses visualize performance metrics, KPIs, and trends. Tableau Skilled in designing compelling data stories using interactive charts and filters. Microsoft Excel Proficient in advanced Excel features like Pivot Tables, VLOOKUP, and data modeling. Machine Learning & AI Tools Scikit-learn Hands-on with supervised and unsupervised algorithms — Linear Regression, Decision Trees, K-Means Clustering, Random Forests, and Naïve Bayes. TensorFlow & Keras (beginner level Exploring deep learning frameworks to understand neural networks, model training, and evaluation. Jupyter Notebook & Google Colab Environments where I experiment with datasets, run exploratory data analysis (EDA), and prototype ML models. Let's connect and collaborate!

Stackforce AI infers this person is a Data Science and Analytics professional with a focus on Business Intelligence and Networking.

Location: Agra, Uttar Pradesh, India

Experience: 0 mo