We're excited to announce two additions to our team! 🌟 Dana Gorovici joins us as a Data Scientist II, bringing her extensive expertise and passion for data. We are also thrilled to welcome back Ricardo Gonzalez, who impressed us as an intern last summer and has now stepped into the role of data analyst and data scientist. Welcome, Dana and Ricardo! #NewHire #RingerSciences #DataScience #DataAnalytics
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"Grateful and excited to begin my journey as a Data Analytics Intern at DeepThought Growth Management System ! A big thank you to Tarun Ayitam and the team for this incredible opportunity. Looking forward to learning, growing, and contributing to innovative projects. Onwards and upwards! 🚀 #NewBeginnings #Gratitude #DataAnalytics #DeepThoughtEdutech"
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🚀 Excited to share that I've completed my 3rd task (TSK-000-185) at Internee.pk ! Exploratory Data Analysis (EDA) Description: Data Visualization: 1. Generate data visualizations, including histograms, scatter plots, and box plots, to reveal data distribution and patterns. 2. Create correlation matrices and heatmaps to identify relationships between variables. Descriptive Statistics: 1. Calculate summary statistics, such as mean, median, and standard deviation, to describe data central tendencies and variability. 2. Explore data distributions and assess skewness and kurtosis. Outlier Detection: 1. Identify and investigate potential outliers that may impact analysis or modeling. 2. Decide on appropriate strategies for handling outliers, such as removal or transformation. Grateful for the opportunity to enhance my skills and work on such interesting projects!
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Data Scientist | Python, SQL, Data Visualization | Excel| AI Enthusiast| Statistics |Machine Learning
Today we start a new phase in my learning career, I join Future Interns to learn, practice and gain hands on experience in data science and analytics. I am excited to gain valuable skills necessary in my career. #futureinterns #datascience #machinelearning
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Hey Folks! I just completed BCG's Data Science Simulation on Forage. In the simulation I: -> Completed a customer churn analysis simulation, demonstrating advanced data analytics skills, identifying essential client data and outlining a strategic investigation approach. -> Conducted efficient data analysis using Python, including Pandas and NumPy. Employed data visualization techniques for insightful trend interpretation. -> Completed the engineering and optimization of a random forest model, achieving an 90% accuracy rate in predicting customer churn. -> Completed a concise executive summary for the Associate Director, delivering actionable insights for informed decision-making based on the analysis. Thank You Forage and BCG X for providing this opportunity. #DataScience #DataAnalytics #CustomerChurn #PredictiveAnalytics #MachineLearning #RandomForest #FeatureEngineering #BusinessIntelligence #DataDriven #InternshipExperience #BCGGamma #DataInsights #ChurnPrediction #CustomerRetention #DataAnalysis #TechInternship #DataStrategy
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🚀 TASK 02 COMPLETED: Excited to share my 2nd task completion . I focused on diving deep into data exploration and conducting extensive exploratory data analysis (EDA) 🔎. Throughout this task, I meticulously examined the relationships between variables, uncovering insightful connections and dependencies within the datasets 📊 . By applying various statistical techniques and visualization methods, I was able to identify meaningful patterns and trends, shedding light on valuable insights that can inform strategic decision-making 💡 . Grateful for the opportunity to further enhance my skills in data analysis and contribute to meaningful projects. Onwards and upwards! 💻 #Datascience #DataAnalysis #DataVisualization #DataCleaning #ProdigyInternship #ProdigyInfotech
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Hello Data Analysts ! I completed Quantium's Data Analytics on Forage. In the simulation I: Completed a job simulation focused on Data Analytics and Commercial Insights for the data science team. →Developed expertise in data preparation and customer analytics, utilizing transaction datasets to extract valuable insights and deliver data-driven commercial recommendations. →Extended analytical capabilities to identify benchmark stores for conducting uplift testing on trial store layouts, enabling evidence-based decision-making. →Leveraged acquired data analytics and insights from previous tasks to create comprehensive reports for the Category Manager, facilitating informed strategic decisions and enhancing commercial applications. #innovation,#technology,#bigdata,#businessintelligence,#analytics,#datamining ,#powerbi ,#team ,#dataanalytics ,#opportunity ,#internship ,#projects ,#pwc ,#dataanalysis ,#dataanalyst ,#dataanalystjobs ,#portfoliobuilding ,#portfolio ,#diversityandinclusion ,#telecom ,#work ,#big4 ,#internships ,#experience ,#learning,#shell ,#jpmorganchase ,#tigeranalytics
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Just completed Task 2 of my Data Science Internship, focusing on data cleaning and exploratory data analysis(EDA) on a dataset of my choice. Delved into exploring relationships between variables and identifying patterns and trends in the data. Excited for the insights ahead! GitHub Repository - https://lnkd.in/gbaCySu8 #ProdigyInfotech#DataScience #InternshipExperience#ExploratoryDataAnalysis
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🎉 Completed the second task of Data Science internship at Prodigy InfoTech. The task is about the data cleaning and Exploratory data analysis. GitHub: 🔗 https://lnkd.in/eEN3s7Ym Dataset: 🔗 https://lnkd.in/exQCghGX #ProdigyInfoTech #datascience #dataanalysis
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Corporate Data Analyst | Data Analyst at Adani Corporate House | Microsoft Certified: Power BI Data Analyst Associate (PL-300) | 5+ Years in Power Industry | Expertise in Power BI, Python, MySQL, EDA, ML, and DBMS
🚀Excited to share that I've just completed a Data Science Virtual Internship at BCG X in collaboration with Forage, Data Science job simulation. In this simulation I Completed a customer churn analysis simulation for XYZ Analytics, demonstrating advanced data analytics skills, identifying essential client data and outlining a strategic investigation approach. Conducted efficient data analysis using Python, including Pandas and NumPy. Employed data visualization techniques for insightful trend interpretation. 🌟Completed the engineering and optimization of a random forest model, achieving an 90% accuracy rate in predicting customer churn. Completed a concise executive summary for the Associate Director, delivering actionable insights for informed decision-making based on the analysis. check out this on GitHub: https://lnkd.in/d6678Ghg #DataScience #Analytics #MachineLearning
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Director Talent Acquisition | Enhancing Employee Experience. Seeking Full Time and Contract opportunities
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